Abstract: Techniques are described for creating and using playback-conditions-adaptive live video encoding ladders.

Abstract: Embodiments for deploying services to multiple Hadoop clusters and providing user access to these services in a secure manner. A process allows authorized users to select a service, validate its entitlement to the organization and then install distributed components of the service onto multiple hosts on different Hadoop clusters. In order to enable this deployment and secure access of this service, an identity federation mechanism is used to ensure the user identity of the system is propagated to distributed clusters in a secure fashion thereby ensuring authorized access to clusters or services is provided in a seamless fashion.

Abstract: A photoaligned quantum rod enhancement film (QREF) includes: a substrate (802, 805); a photoalignment layer deposited on the substrate (802, 805); and a polymer layer deposited on the photoalignment layer, the polymer layer comprises a plurality of quantum rods, the plurality of quantum rods are configured to emit one or more wavelengths of light in response to pumping light, and are aligned to an alignment axis based on the photoalignment layer.

Abstract: Systems and methods include, responsive to a Wi-Fi client device providing a password for a zone of a Wi-Fi network, determining a status of the Wi-Fi client device; when the status is unknown, placing the client device in a holding area associated with the zone, wherein the client device is connected to the Wi-Fi network while in the holding area and has restricted access that is less than full access to the zone in an allowed zone; responsive to placing the client device in the holding area, causing a notification to an administrator that the client device is in the holding area; and with the client device in the holding area, one of moving the Wi-Fi client device to the allowed area, moving the client device to a rejected area for the zone, and leaving the client device in the holding zone, based on any input or lack thereof.

Abstract: Technologies for dynamically generating topology and location based network insights are provided. In some examples, a method can include determining statistical changes in time series data including a series of data points associated with one or more conditions or parameters of a network; determining a period of time corresponding to one or more of the statistical changes in the time series data; obtaining telemetry data corresponding to a segment of the network and one or more time intervals, wherein a respective length of each time interval is based on a length of the period of time corresponding to the one or more of the statistical changes in the time series data; and generating, based on the telemetry data, insights about the segment of the network, the insights identifying a trend or statistical deviation in a behavior of the segment of the network during the one or more time intervals.

Abstract: In one embodiment, a service in a network samples application traffic throughputs for a set of applications present in a network. The service generates a throughput model based on the sampled application throughputs for the set of applications. The service performs anomaly detection on wireless throughput measurements from the network by comparing the wireless throughput measurements to the generated throughput model. The service sends an anomaly detection notification based on a determination that the wireless throughput measurements from the network are anomalous.

Abstract: A method for predicting conditions associated with a coal stock pile is described. The method includes collecting aerial data for a site including one or more coal stock piles. Using the aerial data, the method includes performing localization of the site to identify boundaries of the coal stock piles and extracting multi-spectral features. The method also includes obtaining additional data associated with the coal stock piles from at least one data source and merging the aerial data with the additional data. Using the merged data and the extracted multi-spectral features, the method includes analyzing a status of the coal stock piles by a prediction module to predict at least one of an impending combustion event or a severe condition associated with the coal stock piles. In response to the predicted at least one impending combustion event or severe condition, the method includes implementing a response.

Abstract: Techniques for using ferroelectric liquid crystals Dammann grating (FLCDG) for light detection and ranging devices are disclosed. In LiDAR devices, accuracy, response time, and cost performance can be limited by some factors, such as laser pulse width, time resolution of a time-to-digital conversion chip, detector bandwidth, shot noise, and time error generated by electronic circuits. A FLCDG-based architecture can improve a LiDAR device, and provide for one-shot capturing due to the high switching speed at very low driving voltage provided by ferroelectric liquid crystals and the equal diffracting ability of Dammann grating.

Abstract: The present technology pertains to a system, method, and non-transitory computer-readable medium for evaluating the impact of network changes. The technology can detect a temporal event, wherein the temporal event is associated with a change in a network configuration, implementation, or utilization. The technology defines, based on a nature of the temporal event, a first period prior to the temporal event or a second period posterior to the temporal event. The technology compares network data collected in the first period and network data collected in the second period.

Abstract: A device receives, from a cloud computing environment, cloud instance information associated with cloud instances in the cloud computing environment, and processes the cloud instance information, with a machine learning model, to determine containers for one or more of the cloud instances and whether cloud instances should be removed from the cloud computing environment. The device causes a first subset of the cloud instances to be removed from the cloud computing environment, based on determining which of the cloud instances should be removed, and causes the containers to be created for a second subset of the cloud instances based on determining the containers. The device receives, from the cloud computing environment, cloud container information associated with the containers created in the cloud computing environment, and causes one or more of the containers to be scaled based on the cloud container information.

Abstract: An example method for rendering a dynamic dashboard for an electronic computing device includes receiving data regarding a server computing device. The data indicates whether there are any current or potential problems that impact an operation of the server computing device. Information is obtained regarding any business applications currently running on the server computing device. Information is obtained regarding customers using the business applications currently running on the server computing device. The dynamic dashboard is created to include the information regarding the customers and the business applications currently running on the server computing device and that describes any current or potential problems based on the data. Content of the dynamic dashboard is tailored based upon an identity of an individual who is accessing the dynamic dashboard. The dynamic dashboard is rendered on the electronic computing device.

Abstract: A system includes a storage volume configured to store a data set in a plurality of data blocks, a data store configured to store a plurality of captures of the data set in a plurality of data chunks, and file retrieval logic. The data set includes a file stored in a data block of the plurality of data blocks. The plurality of captures includes the file captured at different points in time. The file retrieval logic is configured to identify the plurality of data chunks in which the data block as captured in the plurality of captures is stored in the data store, retrieve the plurality of data chunks from the data store, and read the data block as captured in the plurality of captures from the plurality of data chunks to produce a plurality of file versions.

Abstract: The disclosed technology relates to a process of providing dynamic machine learning on premise model selection. In particular, a set of machine learned models are generated and provided to an on premise computing device. The machine learned models are generated using a cluster of customer data (e.g. telemetric data) stored on a computing network having different ranges of computational complexity. One of the machine learned models from the set of machine learned models will be selected based on the current available computational resources detected at the on premise computing device.

Abstract: A device includes a memory configured to store image data and an image coding unit. The image coding unit is configured to determine an indication of a last-non-zero (LNZ) syntax element for a block of image data and determine contexts for coding a coefficient map value for each coefficient of a plurality of coefficients of the block using the LNZ syntax element. The image coding unit is further configured to context-based code the coefficient map value for each of the plurality of coefficients in parallel using the respective contexts.

Abstract: A nanoparticle film is disclosed. The nanoparticle film comprises a plurality of polymerized liquid crystal monomers having an axis of alignment, and a plurality of nanoparticles disposed in the polymerized liquid crystal monomers. Each of the nanoparticles has a surface modified by a plurality of first ligands and a long axis aligned with the axis of alignment through the plurality of first ligands.

Abstract: An example method involves providing an interface that simultaneously displays an indication of a respective volume corresponding to each of at least two zone players and displays a respective selectable icon corresponding to each of the at least two zone players. Each respective selectable icon indicates whether the corresponding zone player has been selected for a group, and at least one of the respective selectable icons indicates that a respective zone player has been selected for the group. The interface further displays an indication of a group volume associated with the at least one selected zone player. The method further includes receiving a command to change at least one of a respective volume of one or more of the at least one selected zone player or the group volume, and transmitting an indication of the received command to one or more of the at least one selected zone player.

Abstract: In some examples, a method includes: (a) reading a manifest file containing information regarding an application running on one or more Virtual Machines (VMs), wherein the information includes application topology, credentials, and configuration details; (b) receiving instructions to re-deploy the application from the one or more VMs to a container environment; (c) discovering, based on information in the manifest file, application consumption attributes including attributes of storage, computer, and network resources consumed by a workload of the application; (d) deploying the application on the container environment to produce a containerized application; (e) copying configuration details from the manifest file to the containerized application; (f) migrating, based on information in the manifest file and the discovered application consumption attributes, stateful data to the containerized application; and (g) validating the containerized application functionality.

Abstract: Various embodiments related to systems and methods for instant structured microscopy where total internal reflection fluorescence techniques are used to improve optical sectioning and signal-to-noise ratio of structured illumination microscopy are herein disclosed.

Abstract: A MIMO transceiver may include a communication chain configured to generate a signal at a first frequency. The communication chain may include a pre-distorter configured to accept pre-distortion parameters to pre-distort signals. The communication chain may include a PA to amplify the signals. The MIMO transceiver may include a DPD chain configured to receive the signal at the first frequency. The DPD chain may include a data converter to sample the signal using a sampling rate based on a baseband frequency. The data converter may be configured to generate a sample signal based on the sampling of the signal. The DPD chain may include a buffer configured to buffer the sample signal. The MIMO transceiver may include a DPD circuit configured to calibrate the pre-distortion parameters calibrated based on the buffered sample signal to compensate for non-linearity in amplification provided by the PA of the communication chain.

Abstract: The present disclosure discloses a method and network device for dynamic detection of inactive virtual private network clients. Specifically, a network device receives periodic messages from a first device at a first interval, and determines a timeout value for the first device based at least on the first interval, at which the periodic messages are received from the first device. Subsequent to determining the timeout value, the network device detects that a message has not been received from the first device for a period of time corresponding to the timeout value for the first device. The network device then terminates at least one connection with the first device responsive to determining that no message has been received from the first device for the period of time corresponding to the timeout value for the first device.