Abstract: Some aspects of this disclosure are directed to implementing hardware-based obfuscation of digital data. For example, some aspects of this disclosure relate to a method, including performing a capture operation that loads a plurality of primary input (PI) bits into corresponding shift registers of a plurality of test data registers (TDRs) disposed on one or more digital semiconductor devices and configured to store a plurality of secret information bits. The method further includes performing a sequence of shift operations on the plurality of TDRs to obtain a plurality of output bits. The method further includes applying, by an authenticating processor, a derivation function on the plurality of output bits to extract the plurality of secret information bits thereby authenticating the one or more digital semiconductor devices.

Abstract: Techniques for implementing user interfaces, systems, and processes for multidimensional clustering and analysis are described herein. In one aspect, an application or cloud service receives a request to cluster a set of records where the request identifies a first set of one or more dimensions to use for clustering and a second set of one or more dimensions to analyze for correlation patterns. Responsive to receiving the request to cluster the set of records, the system generates clusters based at least in part on variances in the first set of one or more dimensions, wherein each cluster includes at least one record from the set of records. The system may generate, for each respective cluster, an analytic result that identifies how strongly the second set of one or more dimensions correlate to the respective cluster. The system may present the clusters and analytic results for further processing.

Abstract: Managing an authenticated user session. A method includes a resource provider computer system subscribing to a conditional access termination service for an entity configured to obtain resources from the resource provider computer system through a user session. The resource provider computer system receives an event, related to resource requests, for the entity from the conditional access termination service. The resource provider computer system receives a request for resources from the entity. The resource provider computer system evaluates the request with respect to the event. The resource provider computer system responds to the request based on evaluating the request with respect to the event.

Abstract: Embossing of metallic glass supercooled liquids into templates is emerging as a precision net-shaping and surface patterning technique for metals. Here, the effect of thickness of metallic glass on template-based embossing is disclosed. The results show that the existing embossing theory developed for thick samples fails to describe the process when the thickness of metallic glass becomes comparable to the template cavity diameter. Increased flow resistance at the cavity entrance results in viscous buckling of supercooled liquid instead of filling. A new phenomenological equation is proposed to describe the thickness dependent filling of template cavities. The buckling phenomenon is analyzed based on the folding model of multilayer viscous media. Controlled buckling can be harnessed in fabrication of metal microtubes, which are desirable for many emerging applications.

Abstract: Techniques for estimating a direction of arrival of sound in an environment are discussed. First and second audio data are received from a first pair of audio sensors associated with a vehicle. A first region of ambiguity associated with the first pair of audio sensors is determined based on the first and second audio data. Third and fourth audio data are received from a second pair of audio sensors. A second region of ambiguity associated with the second pair of audio sensors is determined based on the third and fourth audio data. The regions of ambiguity can be further based on confidence levels associated with sensor or audio data. An area of intersection of the first region of ambiguity and the second region of ambiguity can be determined. A direction of arrival of an audio event can be determined based on the area of intersection.

Abstract: A technique for content proxying is described. The technique includes receiving from a first device a stream of data. The stream of data is formatted in a format that does not indicate content length in a header. A received payload of the stream of data is encoded into a data chunk including a chunk length header and the received payload. The data chunk is forwarded to a second device that does not support the format.

Abstract: A device for signal processing includes a memory and a processor. The memory is configured to store a parameter associated with a bandwidth-extended audio stream. The processor is configured to select a plurality of non-linear processing functions based at least in part on a value of the parameter. The processor is also configured to generate a high-band excitation signal based on the plurality of non-linear processing functions.

Abstract: Techniques for determining a direction of arrival of an emergency are discussed. A plurality of audio sensors of a vehicle can receive audio data associated with the vehicle. An audio sensor pair can be selected from the plurality of audio sensors to generate audio data representing sound in an environment of the vehicle. An angular spectrum associated with the audio sensor pair can be determined based on the audio data. A feature associated with the audio data can be determined based on the angular spectrum and/or the audio data itself. A direction of arrival (DoA) value associated with the sound may be determined based on the feature using a machine learned model. An emergency sound (e.g., a siren) can be detected in the audio data and a direction associated with the emergency relative to the vehicle can be determined based on the feature and the DoA value.

Abstract: A network node is provided. The network node includes processing circuitry configured to estimate spatial transmission information, STI, for each of a plurality of wireless devices, and determine spatial separability among the plurality of wireless devices based at least in part on the estimated STI for each of the plurality of wireless devices. The processing circuitry is further configured to cause scheduling of the plurality of wireless devices on the same communication resources based at least in part on the determined spatial separability.

Abstract: An apparatus includes a receiver and a decoder. The receiver is configured to receive a bitstream that includes a first frame and a second frame. The first frame includes a first portion of a mid channel and a first quantized stereo parameter. The second frame includes a second portion of the mid channel and a second quantized stereo parameter. The decoder is configured to generate a first portion of a channel based on the first portion of the mid channel and the first quantized stereo parameter. The decoder is configured to, in response to the second frame being unavailable for decoding operations, estimate the second quantized stereo parameter based on stereo parameters of one or more preceding frames and generate a second portion of the channel based on the estimated second quantized stereo parameter. The second portion of the channel corresponds to a decoded version of the second frame.

Abstract: An electronic device associated with rendering of web content, a server, and a controlling method thereof are provided. The controlling method includes receiving a request for the web content from an electronic device by the server executing a program for a content renderer, generating a render structure associated with render commands by the server executing the program for the content renderer, and sending, by the server executing the program for the content renderer, the render structure to the electronic device to render the web content, and the render commands are issued to each layer of a rendering engine to render the web content of the electronic device.

Abstract: Systems and methods relating to adjusting uplink coverage in a cellular communications network are disclosed. In some embodiments, a method of operation of a network node to adjust uplink coverage for one or more cells in a cellular communications network comprises determining that there is a need to adjust uplink beam transformations for one or more cells of a plurality of cells in a cellular communications network. For each cell of the one or more cells, the uplink beam transformation for the cell is a transformation of received uplink signals for the cell from an antenna domain to a beam domain. The method further comprises, upon determining that there is a need to adjust the uplink beam transformations for the one or more cells, determining new uplink beam transformations for the one or more cells and applying the new uplink beam transformations for the one or more cells.

Abstract: Described herein are systems and methods for providing access to a database in a multi-tenant environment, including the use of a connection pool, and support for server-side connection pool multiple tagging. For example, the system can provide a capability to associate multiple connection properties with a particular server-side connection in, e.g., an Oracle Database Resident Connection Pooling (DRCP) environment; look up a connection with one or multiple properties; and provide information about a returned connection so that a requesting application can review the properties associated with the returned connection, in order to determine how best to “fix-up” or otherwise use that connection.

Abstract: According to one aspect, a network node is provided. The network node includes processing circuitry configured to allocate resources for a reference signal signaling for a first wireless device, the allocated resources configured to separate, in a slot, at least one transmission layer of the first wireless device from at least one transmission layers of a second wireless device by at least one of scheduling the first wireless device and second wireless device different reference signal ports that are separated by using the same resource elements and different CDM codes, scheduling the first wireless device and second wireless device at least one shared reference signal port using the same resource elements and CDM code, and scheduling the first wireless device and second wireless device on different reference signal ports that are separated by FDM using different resource elements and the same CDM codes.

Abstract: In one embodiment, a device filters data usage metrics regarding a plurality of network nodes by one or more data characteristics, to form filtered metrics. The device applies an anomaly detector to the filtered metrics. The device distinguishes, based on an output of the anomaly detector, abnormal, unusual, and normal data usage among the filtered metrics. The device provides display data to a user interface indicative of the abnormal, unusual, and normal data usage among the filtered metrics.

Abstract: A method is disclosed. For example, the method executed by a processor of a multi-function device (MFD) includes accessing a third party application stored in a memory of the MFD, determining that the third party application has been updated, retrieving an update to the third party application from a server that stores updates for third party applications, and executing the third party application with the update on the MFD.

Abstract: A method and system are disclosed. A first service engine among a plurality of service engines detects a traffic violation of a web application policy for an instantiation of a virtual service on the first service engine. The service engines maintain corresponding instances of a shared state of policy violations for the web application policy. In response to detecting the traffic violation, a first instance of the shared state on the first service engine is updated. The first service engine broadcasts the updated first instance of the shared state. Remaining service engines, which have instantiations of the virtual service, update their instances of the shared state in response to receiving the updated first instance. The instances of the shared state are aggregated to obtain an aggregated shared state. It is detected whether the aggregated shared state triggers an application policy rule for the web application policy.

Abstract: A machine or autonomous system includes a diagnostic controller and is configured to perform a method for monitoring health of a machine. The method includes monitoring a set of first electrical signals indicative of control of a motor of the machine while the machine is operated in a first autonomous mode, determining that an abnormal operating condition has occurred in response to the set of first electrical signals meeting a first criteria, having the machine operate in a test mode in response to the determination that the abnormal operating condition has occurred, monitoring a set of second electrical signals indicative of control of the motor during the test mode, and determining a fault condition in response to the set of second electrical signals meeting a second criteria.

Abstract: A heuristics-based concurrent edit detector (“ConE”) can notify collaborators about potential conflicts that may be caused by edits made by other collaborators. ConE may compare concurrent edits submitted by collaborators, calculate the extent of overlap between two sets of edits, apply one or more filters to balance recall versus precision, and decide whether to alert the collaborators about candidate potential conflicts. ConE may be light-weight and easily scalable to work in a very large environment with numerous collaborators.

Abstract: A system an input to receive a waveform signal, and one or more processors configured to execute code to cause the one or more processors to extract data bursts from the waveform signal, generate corresponding data vectors from the raw data for each data burst, and use machine learning to classify each data burst from the corresponding data vector. A method of classifying a data burst, comprising receiving an input waveform, extracting data bursts from the input waveform, deriving one or more spectral features of the data bursts, generating corresponding data vectors for each data burst from the one or more spectral features, and using machine learning to classify the data bursts from the corresponding data vectors.