Abstract: A system for guiding a drill assembly boring the Earth can include a drill controller engine that receives parameters characterizing sensor data from a plurality of sensors of the drill assembly, and a condition of the drill assembly. The parameters and condition can be aggregated into a historical record. A subset of the parameters can be selected based on a relationship between the subset of parameters and the condition of the drill assembly, the relationship being determined by a drill assembly machine learning model. A Damage Index (DI) can be calculated from the subset of parameters. The DI can be matched with a plurality of DIs computed for the historical record to determine a risk of failure of the drill assembly. The drilling operations of the drill assembly can be adjusted by the drill controller engine in response to the risk of failure.

Abstract: A method and apparatus are described for supporting a two-stage device-to-device (D2D) discovery using a D2D interworking function (IWF). A D2D IWF component may be configured to perform mapping between an application running on an application server and a third generation partnership project (3GPP) network, and provide a set of application programming interfaces (APIs) to allow discovery to be provided as a service to D2D applications. An application identifier may be mapped to a 3GPP identifier. Further, a method and apparatus are described for performing client-server discovery. A first wireless transmit/receive unit (WTRU) may be configured for a listen-only operation, and a second WTRU may be configured to transmit beacons. The first and second WTRUs may perform a radio access network (RAN) discovery procedure at an access stratum (AS) layer. A method and apparatus for performing charging for D2D service using a D2D IWF are also described.

Abstract: In some examples, a system includes an article of personal protective equipment (PPE) having at least one sensor configured to generate a stream of usage data; and an analytical stream processing component comprising: a communication component that receives the stream of usage data; a memory configured to store at least a portion of the stream of usage data and at least one model for detecting a safety event signature, wherein the at least one model is trained based as least in part on a set of usage data generated by one or more other articles of PPE of a same type as the article of PPE; and one or more computer processors configured to: detect the safety event signature in the stream of usage data based on processing the stream of usage data with the model, and generate an output in response to detecting the safety event signature.

Abstract: In some examples, a system includes a head-mounted device, a visor that includes a reflective object that is substantially transparent in a visible light spectrum and embodied at a physical surface of the visor, at least one visor attachment assembly that couples the visor to the head-mounted device; at least one optical sensor; and at least one computing device communicatively coupled to the at least one optical sensor, the at least one computing device comprising a memory and one or more computer processors that: receive, from the optical sensor, an indication of light outside of a visible light spectrum that is reflected from the reflective object; determine, based at least in part on the light outside of a visible light spectrum that is reflected from the reflective object, a position of the visor; and perform, based at least in part on the position of the visor, at least one operation.

Abstract: A unified authentication system for decentralized identity platforms is disclosed. In various embodiments, a request comprising one or more identity claims and a digital address is received. The digital address is used to verify, via a verification node associated with a digital address provider, the one or more identity claims. Access to a service is provided, in response to the request, based at least in part on a response from the verification node indicating the one or more identity claims have been verified. The verification node is configured to obtain consent, in real time, from a user with which the digital address is associated, prior to providing said response indicating the one or more identity claims have been verified.

Abstract: Aspects of the present disclosure relate to a method of identifying a worker, a system that performs the method, or non-transitory computer-readable storage medium that performs the method. The method can include acquiring, by a computer having one or more processors, a video of at least part of a worker from a camera system. The method also includes identifying, with the computer, a first worker profile based on personal protective equipment of the worker in the video. The method includes identifying, with the computer, a second worker profile based on a worker movement characteristic of the worker in the video. The method also includes determining, with the computer, an identity of the worker within the video based on the correspondence between the first worker profile and the second worker profile. The method also includes performing at least one action in response to determining the identity of the worker.

Abstract: Described herein are systems and methods that may efficiently detect multi-return light signals. A light detection and ranging system, such as a LIDAR system, may fire a laser beam that may hit multiple objects with a different distance in one line, causing multi-return light signals to be received by the system. Multi-return detectors may be able to analyze the peak magnitude of a plurality of peaks in the return signals and determine a multitude of peaks, such as the first peak, the last peak and the maximum peak. One embodiment to detect the multi-return light signals may be a multi-return recursive matched filter detector. This detector comprises a matched filter, peak detector, centroid calculation and a zeroing out function. Other embodiments may be based on a maximum finder that algorithmically selects the highest magnitude peaks from samples of the return signal and buffers for regions of interests peaks.

Abstract: In accordance with some embodiments, the render rate is varied across and/or up and down the display screen. This may be done based on where the user is looking in order to reduce power consumption and/or increase performance. Specifically the screen display is separated into regions, such as quadrants. Each of these regions is rendered at a rate determined by at least one of what the user is currently looking at, what the user has looked at in the past and/or what it is predicted that the user will look at next. Areas of less focus may be rendered at a lower rate, reducing power consumption in some embodiments.

Abstract: Self-aligned gate endcap (SAGE) architectures without fin end gaps, and methods of fabricating self-aligned gate endcap (SAGE) architectures without fin end gaps, are described. In an example, an integrated circuit structure includes a semiconductor fin having a cut along a length of the semiconductor fin. A gate endcap isolation structure has a first portion parallel with the length of the semiconductor fin and is spaced apart from the semiconductor fin. The gate endcap isolation structure also has a second portion in a location of the cut of the semiconductor fin and in contact with the semiconductor fin.

Abstract: In some examples, a system (1900) includes a hearing protector (1920); at least one position sensor; at least one sound monitoring sensor; at least one computing device configured to: receive, from the at least one sound monitoring sensor and over a time duration, indications of sound levels to which a worker is exposed; determine, from the at least one position sensor and during the time duration, that the hearing protector is not positioned at one or more ears of the worker to attenuate the sound levels; and generate, in response to the determination that at least one of the sound levels satisfies an exposure threshold during the time duration and the hearing protector is not positioned at one or more ears of the worker to attenuate the sound levels, an indication for output.

Abstract: A display assembly for an electronic device can include a printed circuit board, a display panel, and a support structure affixed to the display panel and disposed between the display panel and the printed circuit board.

Abstract: A display assembly for an electronic device can include a printed circuit board, a display panel, and a support structure affixed to the display panel and disposed between the display panel and the printed circuit board.

Abstract: In some examples, a system includes a plurality of articles of personal protected equipment (PPE) that are each assigned to a particular worker. The system may also include a data hub that detects an input that initiates a broadcast of diagnostic self-check messages; identifies, in response to the input, each article of PPE of the plurality of articles of PPE; broadcasts, based on identifying each article of PPE, the diagnostic self-check messages to the respective articles of PPE, wherein each article of PPE receives its respective self-check message at its communication component; in response to receiving a set of diagnostic acknowledgement messages from one or more of the plurality of articles of PPE that have performed a diagnostic self-check, determines whether the set of diagnostic acknowledge messages satisfy one or more self-check criteria; and performs one or more operations based on whether the self-check criteria are satisfied.

Abstract: In some examples, a system includes an article of personal protective equipment (PPE) having at least one sensor configured to generate a stream of usage data; and an analytical stream processing component comprising: a communication component that receives the stream of usage data; a memory configured to store at least a portion of the stream of usage data and at least one model for detecting a safety event signature, wherein the at least one model is trained based as least in part on a set of usage data generated by one or more other articles of PPE of a same type as the article of PPE; and one or more computer processors configured to: detect the safety event signature in the stream of usage data based on processing the stream of usage data with the model, and generate an output in response to detecting the safety event signature.

Abstract: In some examples, a system includes: an article of personal protective equipment (PPE) that includes a communication component; a computing device communicatively coupled to the article of PPE, wherein the computing device: receives context data that is based on one or more of the article of PPE, a work environment for the article of PPE, or a worker assigned to the article of PPE; selects, based at least in part on the context data, a set of programmable safety rules that are contextually associated with the at least one article of PPE; sends the programmable safety rules to one or more of the article of PPE or a data hub communicatively coupled to the article of PPE; and wherein the programmable safety rules are configured at the article of PPE or the data hub to perform one or more operations based at least in part on PPE data.

Abstract: In some examples, a system includes a plurality of articles of personal protected equipment (PPE) that are each assigned to a particular worker. The system may also include a data hub that detects an input that initiates a broadcast of diagnostic self-check messages; identifies, in response to the input, each article of PPE of the plurality of articles of PPE; broadcasts, based on identifying each article of PPE, the diagnostic self-check messages to the respective articles of PPE, wherein each article of PPE receives its respective self-check message at its communication component; in response to receiving a set of diagnostic acknowledgement messages from one or more of the plurality of articles of PPE that have performed a diagnostic self-check, determines whether the set of diagnostic acknowledge messages satisfy one or more self-check criteria; and performs one or more operations based on whether the self-check criteria are satisfied.

Abstract: In some examples, a system includes an article of personal protective equipment (PPE) having at least one sensor configured to generate a stream of usage data; and an analytical stream processing component comprising: a communication component that receives the stream of usage data; a memory configured to store at least a portion of the stream of usage data and at least one model for detecting a safety event signature, wherein the at least one model is trained based as least in part on a set of usage data generated by one or more other articles of PPE of a same type as the article of PPE; and one or more computer processors configured to: detect the safety event signature in the stream of usage data based on processing the stream of usage data with the model, and generate an output in response to detecting the safety event signature.

Abstract: An electronic device may include an electronic display including display pixels to display an image based on compensated image data. The electronic display may also include a stressed reference pixel to exhibit burn-in related aging in response to one or more stress sessions and a non-stressed reference pixel configured to not undergo the one or more stress sessions. Additionally, the electronic device may include image processing circuitry to determine a panel-specific aging profile based on a comparison between one or more properties of the stressed reference pixel and the one or more properties of the non-stressed reference pixel. The image processing circuitry may also generate one or more gain maps based on the panel-specific aging profile and generate the compensated image data by applying the one or more gain maps to input image data.

Abstract: In general, techniques are described for a personal protective equipment (PPE) management system (PPEMS) that uses images of optical patterns embodied on articles of personal protective equipment (PPEs) to identify safety conditions that correspond to usage of the PPEs. In one example, an article of personal protective equipment (PPE) includes a first optical pattern embodied on a surface of the article of PPE; a second optical pattern embodied on the surface of the article of PPE, wherein a spatial relation between the first optical pattern and the second optical pattern is indicative of an operational status of the article of PPE.

Abstract: In some examples, a system includes: an article of personal protective equipment (PPE) that includes a communication component; a computing device communicatively coupled to the article of PPE, wherein the computing device: receives context data that is based on one or more of the article of PPE, a work environment for the article of PPE, or a worker assigned to the article of PPE; selects, based at least in part on the context data, a set of programmable safety rules that are contextually associated with the at least one article of PPE; sends the programmable safety rules to one or more of the article of PPE or a data hub communicatively coupled to the article of PPE; and wherein the programmable safety rules are configured at the article of PPE or the data hub to perform one or more operations based at least in part on PPE data.