Abstract: An information handling system monitors an edge device to detect whether a current temperature of the edge device is below a minimum system temperature threshold. If the current temperature is below the minimum system temperature threshold, then the system determines whether the edge device includes a heater. If a current system workload of the edge device is greater than a minimum system workload threshold and the heater is healthy, then the system uses the heater to increase the current temperature of the edge device to the minimum system temperature threshold.

Abstract: An apparatus may comprise a memory communicatively coupled to a processor. The processor may be configured to receive a request to perform multiple data processing operations and determine multiple sub-dialogues corresponding to the request. The sub-dialogues are part of a plurality of IVR operations. The processor may be further configured to route the request to a microservice of the microservices based at least in part upon the sub-dialogues. The microservice may be configured to fulfill the request. The processor may generate a response to the request associated with the microservice, update publishing commands in accordance with one or more rules and policies in response to generating the response, and publish the first microservice. The publishing commands associated with the microservice may be updated in isolation from the rest of the microservices.

Abstract: A computer-implemented method, a computer system, and a computer program product are provided. A first computer receives a message that indicates a destination location for a drone flight. The first computer generates a first recommendation for a route from a departure location to the destination location for the drone flight. The generating includes relying on a first safety matrix that represents a geographical area that includes the departure and destination locations. The first safety matrix includes rows and columns of numbers. Each number represents a first safety factor for a respective portion of a map that illustrates the geographical area. The generating also includes relying on a first analysis regarding a direct route between the departure and destination locations. The first analysis includes analyzing values of the first safety matrix along portions representing the direct route.

Abstract: Embodiments herein disclose methods and systems for optimizing the productivity and improving the stability of electric vehicles by sensing field size and soil condition and automatically assisting the vehicle to turn by rotating inner wheels faster as compared to outer wheels of the vehicle and rotating front wheels of the vehicle faster as compared to rear wheels of the vehicle, and selectively braking respective wheel during headland operations. Embodiments herein enable operators to attain tight headland turns with lower head land space. Embodiments herein can detect a plurality of parameters such as, field conditions, soil condition, implements(s) connected to the vehicle, and so on, and control the turning radius of the vehicle as per requirement in at least one mode.

Abstract: The present invention discloses a novel fructophilic lactic acid producing bacteria Bacillus coagulans strain FF-7 (MTCC 25235) and the process of isolation and characterization of the bacteria.

Abstract: A method and system to integrate information in a coordinated mission of a group of user vehicles is provided. The method comprises storing a call sign in a database for each user vehicle, among the group of user vehicles, in the coordinated mission; and identifying a speaker vehicle among the user vehicles by comparing a call sign from parts of speech (POS) with the stored call signs. The method further comprises highlighting the identified speaker vehicle in a common display of each user vehicle; and determining whether the POS from the speaker vehicle contains a reference to a point of interest (POI). The method generates a graphical symbol for the POI when the POS from the speaker vehicle contains a reference to the POI, and tags the graphical symbol at a location of the POI in the common display of each user vehicle.

Abstract: A computer implemented method is provided. A number of processor units identify a number of candidate applications for processing requests based on types of application programming interface for each application. The number of processor units validate metadata related to status of applications for each application in the number of candidate applications. The number of processor units select a subgroup of applications from the number of candidate applications to process requests based on the validated metadata.

Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for evaluating an energy efficiency of a computer code snippet. A computer-implemented system obtains code data characterizing a computer code snippet and rule data characterizing one or more energy efficiency rules, and processes the code data and rule data using machine-learning models to detect energy efficiency defects in the computer code snippet that negatively impact a dynamic energy efficiency of the computer code snippet upon execution by the computing device.

Abstract: A computer-implemented method for providing tag suggestions for an image in a social media platform is provided. Aspects include receiving an image from a first user of a social media platform, obtaining a timestamp corresponding to a time that the image was captured, and obtaining a geographic location corresponding to where the image was captured. Aspects also include identifying one or more members of the social media platform that are connected to the first user that were within a predefined distance of the geographic location at the time that the image was captured and providing a list of the one or more members to the first user as suggestions for tagging the image.

Abstract: Systems, devices, computer-implemented methods, and tangible non-transitory computer readable media for implementing an organizational management platform that manages organizational data for an organization. The system can receive, from a user device, a user request for a report. Additionally, the system can generate a logic plan based on the user request, the logic plan determining a plurality of models. Moreover, the system can generate a first query being expressed in a custom query language. Furthermore, the system can combine the first query with a second query to generate a unified query. Subsequently, the system can translate the unified query into a final query, wherein the final query is expressed in a data access language. The system can execute the final query to retrieve data from a database, where a report is generated based on the retrieved data.

Abstract: In general, this disclosure describes techniques for a containerized router operating within a cloud native orchestration framework. In an example, a virtualized cell site router comprises a computing device configured with a containerized router, the computing device comprising: a containerized virtual router configured to execute on the processing circuitry and configured to implement a data plane for the containerized router; a containerized routing protocol process configured to execute on the processing circuitry and configured to implement a control plane for the containerized router; and a pod comprising a containerized distributed unit, wherein the containerized routing protocol process is configured to advertise routing information comprising reachability information for the containerized distributed unit.

Abstract: Technologies are provided for processing data in neural networks. An example method can include processing, by each layer of a neural network, a row in a first stripe of a data input, the row being processed sequentially in a horizontal direction and according to a layer-by-layer sequence; after processing the row, processing, by each layer, subsequent rows in the first stripe on a row-by-row basis, each subsequent row being processed sequentially in the horizontal direction and according to the layer-by-layer sequence; generating an output stripe based on the processing of the row and subsequent rows; processing, by each layer, a second stripe of the data input, each row in the second stripe being processed in the horizontal direction and according to the layer-by-layer sequence, wherein rows in the second stripe are processed on a row-by-row basis; and generating another output stripe based on the processing of the second stripe.

Abstract: A mobile device determines a current location based at least in part on one or more characteristics of one or more signals received from a wireless access point. The wireless access point receives from the mobile device the current location of the mobile device and an International Mobile Equipment Identity (IMEI)-based identifier that is unique to the user's mobile device. The door is electrically unlocked when the current location of the user's mobile device is determined to be within a predetermined proximity to the door and the wirelessly received IMEI based identifier of the user's mobile device is associated with a user that has access rights to access through the door.

Abstract: This disclosure relates generally to a method and system for predicting safe time of operation for a rotary kiln. Over the period of time, the rotary kiln develops a ring within the inner walls of the kiln and suffers sudden shut down due to choking of the kiln. State-of-the-art methods provide the various methods of predicting safe time of operation, but the prediction is based on limited features and hence suffers accuracy. The disclosed method predicts safe time of operation for a rotary kiln based on mathematical model that estimates size of ring by estimating plurality of derived parameters based on operational parameters and design parameters. The derived parameters are the estimations provided by a solid bed height variation model, a gas stream model, a solid stream, a melt model, an agglomeration model, a volatile model, and a ring formation model.

Abstract: Existing electricity consumption prediction approaches depend largely on data-based models, which may be statistical techniques or more precisely time-series predictions that predict based on the auto-regressive nature of the load curve with a few external variables at best, such as calendar events and ambient temperature. While these models are effective to a certain degree for the overall grid level requirements, they may not be able to predict disruptive changes that may happen over longer periods of time, such as the demographic shifts, etc. Method and system disclosed herein predict the electricity consumption by taking into consideration various parameters associated with such disruptive changes, and then predict the electricity consumption in a target area by aggregating the electricity consumption predicted at the agent level.

Abstract: A method includes generating a plurality of lidar inputs based on the lidar data, where each lidar input from among the plurality of lidar inputs comprises an image-based portion and a geometric-based portion, and where each lidar input from among the plurality of lidar inputs defines a position coordinate of the one or more objects. The method includes performing, for each lidar input from among the plurality of lidar inputs, a convolutional neural network (CNN) routine based on the image-based portion to generate one or more image-based outputs and assigning the plurality of lidar inputs to a plurality of echo groups based on the geometric-based portion. The method includes concatenating the one or more image-based outputs and the plurality of echo groups to generate a plurality of fused outputs and identifying the one or more objects based on the plurality of fused outputs.

Abstract: A method includes collecting, by one or more processors of a computer system, digestive capabilities for Input Output Queues (IOQs) of infrastructure components in a hybrid cloud infrastructure, and allocating, by the one or more processors of the computer system, nonvolatile memory express (NVMe) storage cloud resources for the hybrid cloud infrastructure based on the collected digestive capabilities for IOQs of the infrastructure components.

Abstract: A method includes generating a radar-based intensity map and a lidar-based intensity map and performing one or more augmentation routines on the radar-based intensity map and the lidar-based intensity map to generate a radar input and a lidar input. The method includes generating a plurality of teacher-based bounding boxes and a plurality of student-based bounding boxes based on the radar input and the lidar input. The method includes determining a loss value of the plurality of student-based bounding boxes based on the plurality of teacher-based bounding boxes and a plurality of ground truth bounding boxes, updating one or more weights of the student neural network based on the loss value, and updating one or more weights of the teacher neural network based on a moving average associated with the one or more weights of the student neural network.

Abstract: Validation/authentication of a resource exchange device and/or authorization of a resource exchange event being conducted with the resource exchange device is made possible through use of a Non-Fungible Token (NFT) that is accessible via an NFT identifier encrypted and embedded within a digital image imprinted on the resource exchange device. The NFT identifier NFT identifier may be segmented and each segmented stored in different predetermined pixels of the digital image to add an additional security layer to the validation/authorization process.

Abstract: The various implementations described herein include techniques and apparatuses for handwriting and other user gesture detection and recognition. In one aspect, a method includes receiving, via one or more sensors of a wearable device worn by a user, neuromuscular data generated from performance of a hand gesture by the user. The method also includes generating, using one or more encoders, one or more encodings by encoding the neuromuscular data; and identifying, using a language model, one or more terms from the one or more encodings. The method further includes causing display of the one or more terms to the user during performance of the hand gesture.