Abstract: A computing device is provided. The computing device may include a first camera configured to capture a primary image sequence of a scene, and a second camera configured to substantially concurrently capture a secondary image sequence of the scene. The computing device may include a processor configured to execute instructions stored in memory to obtain a depth map for an image of the primary image sequence, and based on the depth map, generate a reference frame of background pixels from the primary image sequence. The processor may be configured to execute the instructions to detect an intrusive object in the secondary image sequence, replace the intrusive object in the primary image sequence with corresponding background pixels of the reference frame to generate a modified primary image sequence, and output on a display at least one image of the modified primary image sequence.

Abstract: A computing device is provided. The computing device may include a first camera configured to capture a primary image sequence of a scene, and a second camera configured to substantially concurrently capture a secondary image sequence of the scene. The computing device may include a processor configured to execute instructions stored in memory to obtain a depth map for an image of the primary image sequence, and based on the depth map, generate a reference frame of background pixels from the primary image sequence. The processor may be configured to execute the instructions to detect an intrusive object in the secondary image sequence, replace the intrusive object in the primary image sequence with corresponding background pixels of the reference frame to generate a modified primary image sequence, and output on a display at least one image of the modified primary image sequence.

Abstract: Various embodiments include methods and devices for implementing a secure user interface. The method may include generating a secure user interface display in a secure execution environment, generating a non-secure display in a normal execution environment, combining the secure user interface and the non-secure display into a combined display, and presenting the combined display via a display device.

Abstract: An example method includes storing status data for a network communication device connected to a host device by a pluggable connector in a memory of the network communication device. A change in the status data is signaled using a signal on the pluggable connector. The status data is sent from the memory of the network communication device to the host device over the pluggable connector. The status data is displayed on a local indicator of the host device.

Abstract: An I/O module configured to operate over a range of voltage supplies includes a transmit path circuit and a receive path circuit that are each configured to convert a data signal between a core voltage domain and one of a first voltage domain (e.g., a high voltage domain) and a second voltage domain (e.g., a low voltage domain) in response to a mode select signal.

Abstract: A computing device is provided. The computing device may include a first camera configured to capture a primary image sequence of a scene, and a second camera configured to substantially concurrently capture a secondary image sequence of the scene. The computing device may include a processor configured to execute instructions stored in memory to obtain a depth map for an image of the primary image sequence, and based on the depth map, generate a reference frame of background pixels from the primary image sequence. The processor may be configured to execute the instructions to detect an intrusive object in the secondary image sequence, replace the intrusive object in the primary image sequence with corresponding background pixels of the reference frame to generate a modified primary image sequence, and output on a display at least one image of the modified primary image sequence.

Abstract: An optical device may include a communication interface and processing logic configured to receive a broadcast contention-based allocation from an optical line terminal (OLT), wherein the contention-based allocation is associated with activation of the optical device in an optical network. The processing logic may also be configured to transmit a message in response to the contention-based allocation, wherein the message includes information identifying the optical device and receive, from the OLT, an assignment message or a feedback message in response to the transmitted message. The processing logic may be further configured to execute a retransmission procedure based on the assignment or feedback message indicating that a collision occurred.

Abstract: A telemetry master (TM) system provides automatic monitoring and maintenance of equipment by automatically generating predictive actions of a certain confidence threshold to backend systems which maintain a full duplex communication channel with the TM system. Data entries including context information that are generated by applications corresponding to the backend systems during the functioning of the backend systems are collected, analyzed and actionable items such as alerts, alarms of particular messages cause the telemetry master system to generate a predictive action of a minimum confidence threshold using a pre-trained first data model. A second data model is employed to identify particular equipment from the backend systems that is to implement the action. Results from implementing the action are collected and again used to train the data models. Certain applications can include intelligent agents which enable automatic execution of the actions.

Abstract: An optical device may include a communication interface and processing logic configured to receive a broadcast contention-based allocation from an optical line terminal (OLT), wherein the contention-based allocation is associated with activation of the optical device in an optical network. The processing logic may also be configured to transmit a message in response to the contention-based allocation, wherein the message includes information identifying the optical device and receive, from the OLT, an assignment message or a feedback message in response to the transmitted message. The processing logic may be further configured to execute a retransmission procedure based on the assignment or feedback message indicating that a collision occurred.

Abstract: An optical device may include a communication interface and processing logic configured to receive a broadcast contention-based allocation from an optical line terminal (OLT), wherein the contention-based allocation is associated with activation of the optical device in an optical network. The processing logic may also be configured to transmit a message in response to the contention-based allocation, wherein the message includes information identifying the optical device and receive, from the OLT, an assignment message or a feedback message in response to the transmitted message. The processing logic may be further configured to execute a retransmission procedure based on the assignment or feedback message indicating that a collision occurred.

Abstract: Methods implemented on computing devices provide protections for sensitive information by outputting audio descriptions of sensitive information via a personal audio output device coupled to the computing device so that the description can be heard only by the user rather than displaying the information. Further protections for sensitive information may include displaying an input keypad on a touch-sensitive display in which key images do not include a visual indication of the character or value associated with each key, and outputting an audio description of the character or value associated with a user-selected key of the keys on the data input keypad via the personal audio output device so that the key description can be heard only by the user.

Abstract: Various embodiments include methods and devices for implementing a secure user interface. The method may include generating a secure user interface display in a secure execution environment, generating a non-secure display in a normal execution environment, combining the secure user interface and the non-secure display into a combined display, and presenting the combined display via a display device.

Abstract: A power usage prediction system implements a long short term memory (LSTM) neural network to receive power usage inputs and generate predicted values of power consumption for a plurality of devices. A user provides configuration input regarding the time steps at which the predicted values are to be generated and the various devices for which the predicted values of power consumption are desired. Whenever a power usage input is received, the LSTM neural network outputs the corresponding hidden state values for a plurality of time steps as the predicted values. The hidden state values are each compared to a final cell state value corresponding to a power consumption threshold of the time interval which includes the time steps. Based on the comparison, a power usage condition is recorded. Various actions to mitigate the high power consumption can be implemented in response to recording the power usage condition.

Abstract: A power usage prediction system implements a long short term memory (LSTM) neural network to receive power usage inputs and generate predicted values of power consumption for a plurality of devices. A user provides configuration input regarding the time steps at which the predicted values are to be generated and the various devices for which the predicted values of power consumption are desired. Whenever a power usage input is received, the LSTM neural network outputs the corresponding hidden state values for a plurality of time steps as the predicted values. The hidden state values are each compared to a final cell state value corresponding to a power consumption threshold of the time interval which includes the time steps. Based on the comparison, a power usage condition is recorded. Various actions to mitigate the high power consumption can be implemented in response to recording the power usage condition.

Abstract: Techniques of this disclosure may include ways to control the amount of graphics data a graphics processing unit (GPU) renders. The GPU may render graphics data for image content that changed from frame-to-frame rather than graphics data for image content that changed and did not change. To display the image content, processing circuitry may map locations of where the graphics data is stored to lines in the image content allowing for the GPU to store the graphics data in arbitrary locations of an application buffer.

Abstract: An AR based fault detection and maintenance system analyzes real-time video streams from a remote user device to identify a specific context level at which a user is to handle an equipment and provides instructions corresponding to the specific context level. The instructions enable generating AR simulations that guide the user in executing specific operations including repairs on faulty components of the equipment. The received video stream is initially analyzed to identify a particular equipment which is to be handled by the user. Fault prediction procedures are executed to identify faults associated with the equipment. The instructions to handle the faults are transmitted to the user device as AR simulations that provide step-by-step simulations that enable the user to execute operations as directed by the instructions.

Abstract: An AR based fault detection and maintenance system analyzes real-time video streams from a remote user device to identify a specific context level at which a user is to handle an equipment and provides instructions corresponding to the specific context level. The instructions enable generating AR simulations that guide the user in executing specific operations including repairs on faulty components of the equipment. The received video stream is initially analyzed to identify a particular equipment which is to be handled by the user. Fault prediction procedures are executed to identify faults associated with the equipment. The instructions to handle the faults are transmitted to the user device as AR simulations that provide step-by-step simulations that enable the user to execute operations as directed by the instructions.

Abstract: Techniques of this disclosure may include ways to control the amount of graphics data a graphics processing unit (GPU) renders. The GPU may render graphics data for image content that changed from frame-to-frame rather than graphics data for image content that changed and did not change. To display the image content, processing circuitry may map locations of where the graphics data is stored to lines in the image content allowing for the GPU to store the graphics data in arbitrary locations of an application buffer.

Abstract: The techniques of this disclosure include power optimal multiplexing of host and/or panel random access memory (RAM) pixel data for display scan out. Two aspects include systems and methods of bypassing the memory on the smart display panel in certain circumstances and refreshing the display from the host: hardware enhancement for an optimal block-based timing engine for smart display panels and an optimized frame-based timing engine scan out for smart display panels. The host may determine whether to bypass the memory of the smart display based on the size of high refresh rate regions and/or offline data for non-updating regions from the host and RAM respectively. By bypassing the panel RAM during circumstances where large areas of the display are updated rapidly, display power usage and on-panel RAM wear out may be reduced.

Abstract: The techniques of this disclosure include power optimal multiplexing of host and/or panel random access memory (RAM) pixel data for display scan out. Two aspects include systems and methods of bypassing the memory on the smart display panel in certain circumstances and refreshing the display from the host: hardware enhancement for an optimal block-based timing engine for smart display panels and an optimized frame-based timing engine scan out for smart display panels. The host may determine whether to bypass the memory of the smart display based on the size of high refresh rate regions and/or offline data for non-updating regions from the host and RAM respectively. By bypassing the panel RAM during circumstances where large areas of the display are updated rapidly, display power usage and on-panel RAM wear out may be reduced.