Abstract: A portable handheld device pairs with a first building control device, to form a first wireless connection. The portable handheld device receives information about a second building control device via the first wireless connection, at least some of the information is received by the first building control device from the second building control device over a building control network before the first building control device provides at least some of the received information to the portable handheld device via the first wireless connection. The portable handheld device sends one or more messages to the first building control device via the first wireless connection, wherein the one or more messages cause the first building control device to communicate with the second building control device via the building control network to initiate a commissioning and/or maintenance process of the second building control device.

Abstract: A bone implant includes a proximal end, a distal end, a first portion extending between the proximal and distal ends having a maximum and minimum portion height, and a second portion extending between the proximal and distal ends having a maximum and minimum portion height. The second portion is connected to the first portion at the proximal end and the distal end and at least one of the first portion and the second portion is moveable relative to the other of the first portion and the second portion so as to transition the bone implant between a relaxed state wherein the first and second portions are separated by a first distance and a contracted state wherein the first and second portions are separated by a second distance different from the first distance. At least one of the proximal end and the distal end have the minimum portion height.

Abstract: A device for determining lane type and method thereof are provided. The device for determining lane type according to an embodiment of the present disclosure includes a camera for acquiring an around view image around a vehicle, a GPS receiver for receiving GPS information, and a controller communicatively connected to the camera and the GPS receiver. Here, the controller is configured to recognize a scene of the image acquired by the camera, detect lanes and road markings from the recognized scene, comprise a classifier adapted based on the GPS information, classify the detected lanes and road markings by the classifier, and confirm a type of the classified lanes.

Abstract: Methods and systems for image registration using an intelligent artificial agent are disclosed. In an intelligent artificial agent based registration method, a current state observation of an artificial agent is determined based on the medical images to be registered and current transformation parameters. Action-values are calculated for a plurality of actions available to the artificial agent based on the current state observation using a machine learning based model, such as a trained deep neural network (DNN). The actions correspond to predetermined adjustments of the transformation parameters. An action having a highest action-value is selected from the plurality of actions and the transformation parameters are adjusted by the predetermined adjustment corresponding to the selected action. The determining, calculating, and selecting steps are repeated for a plurality of iterations, and the medical images are registered using final transformation parameters resulting from the plurality of iterations.

Abstract: An apparatus disclosed herein includes memory; computer readable instructions; and programmable circuitry to be programmed by the computer readable instructions to: generate a reclamation recommendation based on a subset of entities eligible for reclamation, the subset of the entities meeting a resource requirement of a failed entity; reconfigure the subset of the entities to reclaim resources of the subset of the entities based on the reclamation recommendation; and execute the failed entity using the reclaimed resources of the subset of the entities.

Abstract: An electronic device and method for iterative enhancement of speech recognition, voice conversion, and text-to-speech models are disclosed. The electronic device receives a text dataset and a dataset associated with a speech recognition task. Speech recognition, voice conversion, and TTS conversion models are trained for corresponding tasks. The device further iteratively executes operations, which include: generating an augmented speech dataset via application of the trained voice conversion model, finetuning the TTS conversion model using the augmented speech dataset, applying the finetuned TTS conversion model to the text dataset to generate speech samples, applying the trained voice conversion model to the speech samples to create an augmented text-speech dataset, finetuning the speech recognition model utilizing the augmented text-speech dataset, and finetuning the trained voice conversion model using the finetuned speech recognition model.

Abstract: A method and system for securing an anonymous discovery service may include receiving a request from a client device, the request being directed to an anonymous Autodiscover service, identifying a source from which the request originated from within the client device, and responsive to the source being of a first type of sources, transmitting a first response to the client and responsive to the source being of a second type of sources transmitting a second response to the client. The first response does not return a Uniform Resource Locator (URL) to a service endpoint, the second response returns a URL to a service endpoint. Furthermore, the anonymous discovery service may be a discovery service that requires no authentication.

Abstract: Embodiment herein provides a method for classifier based constraint management. The method comprises creating a constraint graph database comprising a plurality of constraint classes associated with a plurality of Application program interfaces (APIs); receiving a request to perform at least one operation associated with at least one entity; determining at least one constraint class from the plurality of constraint classes based on the information about the at least one entity to perform the at least one operation; invoking the at least one API from the plurality of APIs based on the at least one constraint class to access the plurality of constraints associated with the at least one constraint class; and performing the at least one operation associated with the at least one entity based on the plurality of constraints associated with the at least one constraint class and the information about the at least one entity.

Abstract: In a radar system, an intermediate frequency amplifier (IFA) is configured with two high-pass filter stages, each having an amplifier and a configurable impedance component. A control signal is activated as the radar system begins to transmit a chirp signal to lower the impedance of the configurable impedance components during an initial portion of the chirp transmission to achieve faster settling of the IFA output signal. After the initial portion, the control signal deactivates while transmission of the chirp continues to increase the impedance of the configurable impedance components to a level sufficient to effectively perform filtering of unwanted signals received by the radar system.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may establish a radio resource control (RRC) connection with a base station. The UE may receive, from the base station, parameters associated with a set of frequency bands, the parameters indicating a priority of each frequency band of the set of frequency bands. The UE may then measure, based on the priority, one or more frequencies of at least one frequency band of the set of frequency bands. The UE may then transmit, after a time delay and to the base station, a measurement report including measurements of one or more frequency bands of the set of frequency bands.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing machine learning models to generate modified digital images. In particular, in some embodiments, the disclosed systems generate image editing directions between textual identifiers of two visual features utilizing a language prediction machine learning model and a text encoder. In some embodiments, the disclosed systems generated an inversion of a digital image utilizing a regularized inversion model to guide forward diffusion of the digital image. In some embodiments, the disclosed systems utilize cross-attention guidance to preserve structural details of a source digital image when generating a modified digital image with a diffusion neural network.

Abstract: In example implementations described herein, there are systems and methods for obtaining information relating to one or more of a GHG consumption or a GHG production associated with a plurality of entities associated with a GHG-offset marketplace; receiving a request regarding a desired transaction related to the GHG-offset marketplace; and recommending, based on the request and the information relating to the one or more of the GHG consumption or the GHG production, at least one optimized set of partner entities in the plurality of entities for fulfilling the request. The recommendation of the at least one optimized set of partner entities may be included as part of selecting and coordinating partnerships in a supply chain (e.g., for a supply chain management company) to reduce and/or optimize greenhouse gas emissions and to enable effective cooperation for various supply chain objectives.

Abstract: A method is performed with a group of chiplets. The method includes: (1) parsing a message into at least a group of ordered message blocks associated with a group of index values, which are indicative of positions of individual message blocks relative to one another; (2) generating two or more substitution values based at least in part on execution of two or more pseudo-random number generators (PNRG's) using seeds associated with the bits of blocks of the group of message blocks; (3) generating two or more sequencing values based at least in part on execution of two or more PNRG's using seeds associated with index values of the group of index values; (4) generating a group of ciphertext blocks at least in part with XOR operations using at least the substitution values and the sequencing values; (5) concatenating the group of ciphertext blocks; and (6) transmitting.

Abstract: Techniques are described for an adaptive CoPP that can adapt and change based on actual network control traffic rather than static CoPP rates. An aggressive CoPP can protect the CPU (route processor) of a network device, e.g., routers and switches, but may also penalize convergence and performance. An adaptive CoPP may protect CPU as well as boost convergence and performance parameters. In particular, traffic between two sites may be managed by proactively changing the thresholds of lower CoS traffic based on the CoPP utilization of various protocol/BPDU class traffic, thereby improving data plane convergence and application performance in scaled environments.

Abstract: An automated power on notification system includes a non-transitory computer readable medium configured to store instructions thereon. The system further includes a processor connected to the non-transitory computer readable medium. The processor is configured to execute the instructions for detecting a failure to establish a connection with a newly powered on component. The processor is further configured to instruct a transmitter to transmit a periodic timer signal to the newly powered on component, wherein the periodic timer signal indicates a time period for the newly powered on component to wait prior to repeating an attempt to connect to a network. The processor is further configured to receive a connection request from the newly powered on component after the time period has elapsed. The processor is further configured to establish a connection between the newly powered on component and the network.

Abstract: The present invention relates to polysilazane compositions, in particular to a composition, the use of said composition for coating a substrate, and a substrate comprising a coating made from said composition.

Abstract: A system, method and non-transitory computer-readable medium including instructions executable by one or more processors to display, a listing of one or more Open Radio Access Network (O-RAN) units; receive, by an orchestrator tool, a first user selection of a first set of O-RAN units; receive a first user entry of a version identifier of a first upgrade; receive a second user entry of a path associated with the first upgrade; receive a first request to deploy the first upgrade to the first set of O-RAN units; and in response to receiving the first request, prepare a first standardized configuration payload. The first standardized configuration payload includes the version identifier of the first upgrade; and the path associated with the first upgrade. The instructions cause transmission of the first standardized configuration payload in a first configuration file to a configuration management module or service.

Abstract: Systems and methods include intercepting traffic at a mobile device via a connector application executing on the mobile device, the traffic originating from one or more applications on the mobile device and destined for one or more resources located in one of a public cloud, a private cloud, and an enterprise network; detecting one or more Virtual Private Network (VPN) profiles associated with the traffic, wherein the one or more VPN profiles are assigned to the traffic by the operating system of the mobile device; and forwarding the traffic to a cloud-based system via one or more tunnels based on the one or more VPN profiles detected in the traffic.

Abstract: A method for adapting text message communications in electronic financial transactions to accommodate users with color vision deficiency. During a registration process, a primary account number, a selection of an enrollment in a color vision deficiency accommodation service, a selection of a preferred critical text color, and an electronic device identifier are received from a user. During a subsequent electronic card present transaction process, the primary account number and the electronic device identifier are received from the user via a payment gateway webpage. During an adaptation process, a text of a message containing a critical text element communicated to the user regarding the transaction is adapted by presenting the critical text element in the preferred critical text color previously selected by the user. The message may be adapted within a template, or the message may be dynamically adapted by searching the message and identifying the critical text element.

Abstract: Safety non-compliance and, simultaneously, productivity metrices are computed and tracked. Objects of interest (such as technicians, tools, cranes, slings, gloves, assets) are identified and tracked from real time streams of cameras through the application of several filtration processes (boundary based, aspect-ratio based, intersection-over-union based, dice coefficient-based, and custom model bounding box filtration techniques) and are then projected onto a 2D homographic map which localizes their position. The localized position is filtered using custom time series and frequency-based filters and aggregated over a set of defined time ranges to obtain productivity and safety KPIs. Non-compliance detections are flagged with video recorded for the given time duration and anonymized with custom processes to ensure data privacy. Productivity KPIs are represented in a dashboard with readings collected at different time intervals like hourly, daily, weekly and monthly.