Abstract: The present disclosure provides a neural document embedding based ontology mapping. Conventional methods that map ontology concepts across domains/species extensively take help of bridging ontologies. Initially the system receives a Human Phenotype (HP) Identification number (ID) pertaining to a phenotype. A first HP ID vector is computed from the HP ID using a trained word2vec model. A second HP ID vector is computed from the HP ID using a trained Doc2vec model. An average HP ID vector is computed based on the first HP ID vector and the second HP ID vector. A plurality of cosine similarity scores are computed based on a comparison between the average HP ID vector and a plurality of average MP ID vectors. The plurality of MP IDs are sorted based on the plurality of cosine similarity scores. The plurality of MP IDs corresponding to the HP ID are selected based on a selection threshold.

Abstract: Methods and systems are described herein for facilitating data integrity processes using measures of statistical dispersion (e.g., gini impurities) of dataset features. The described mechanism may be also be used for selection and dimensionality reduction. Dimensionality reduction may enable storing the dataset using less storage space or performing other operations on the dataset using less resources. In some embodiments, the above described mechanism may be used for supervised categorial clustering and/or categorical classification.

Abstract: Described are methods and systems for a model performance and monitoring tool. In particular, methods and systems are described for detecting modeling errors at a composite modeling level in complex computer systems based on modeling errors in non-homogenous, time-series data segments.

Abstract: Systems and methods for adaptive token verification are disclosed. For example, a system may include at least one memory storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include training a verification model to verify tokenized requests based on system identifiers. The operations may include receiving a tokenized request from an external system, the request comprising a system identifier of the external system. The operations may include generating output of the verification model based on the system identifier, and, based on the output, performing one of granting the request or blocking the request.

Abstract: Secure protocols for external-facing authentication are provided for both user templates stored on their devices and the biometric measurement captured by external sensors of an access device. The protocols provide different levels of security, ranging from passive security with some leakage to active security with no leakage. A packing technique is also provided. Zero-knowledge techniques are used during enrollment to validate a norm of user templates and knowledge of the plaintext biometric template. One enrolled, the verifier can sign the encrypted template for use in a later matching phase with an access device.

Abstract: Embodiments disclosed herein generally relate to a system and method for proactively generating an intervening message for a remote client device in response to an anticipated user action. A computing system receives one or more streams of user activity. The one or more streams of user activity include interaction with a server of an organization via an application executing on the remote client device. The computing system inputs the one or more streams of user activity into a prediction model. The computing system identifies an anticipated user action based on a prediction output from the prediction model. The computing system determines, based on a solution model, a proposed solution to the anticipated user action. The computing system generates an anticipated message to be transmitted to the remote client device of the user. The computing system transmits the anticipated message to the remote client device of the user.

Abstract: A transaction card construction and computer-implemented methods for a transaction card are described. The transaction card has vector-formatted visible information applied by a laser machining system. In some embodiments, systems and methods are disclosed for enabling the sourcing of visible information using a scalable vector format The systems and methods may receive a request to add visible information to a transaction card and capture an image of the visible information. The systems and methods may capture data representing the image. The systems and methods may also determine an ambient color saturation of the image. Further, systems and methods may translate the image based on the ambient color saturation of the image. The systems and methods may also map the translated image to a bounding box and convert the mapped image into vector format. In addition, the systems and methods may provide the converted image to a laser machining system.

Abstract: A method creates a fluid communication path between a first production well and a second production well. At least one hydraulic fracture intersects the first production well and is separated from the second production well by a wall thereof. The method includes identifying, from the second production well, a location of the hydraulic fracture of the first production well, and perforating the wall of the second production well at the identified location. The perforating creates the fluid communication path between the production wells. Injection of fracking fluid and proppant at the first production well allows for additional fluids to be extracted from the second production well, thus generating a flow between the two production wells through the hydraulic fracture.

Abstract: Techniques to utilize excess resources in a cloud system, such as by enabling an auxiliary resource utilizer to use resources while they are not needed to support primary resource utilizers, are described herein. Some embodiments are directed to identifying and allocating excess capacity of resources in a cloud system to auxiliary resource utilizers based on one or more policies. In various embodiments, excess resources in one or more of the set of resources in the cloud system, or cloud resources, may be determined based on monitoring utilization of the cloud resources by the primary resource utilizers. In many embodiments, an auxiliary resource utilizer that is in compliance with a set of utilization policies may be identified and the excess resources may be allocated to the auxiliary resource utilizer.

Abstract: A method is disclosed. The method includes receiving a text phrase from a user and parsing the text phrase using a natural language parser to generate distinct words. A vector of values relating to the distinct words is generated and compared to vectors in a graph database which relate to learned communities of language. Based on the comparing, a most similar community in the learned communities of language is determined and an action set action set associated with the most similar community is queried. A response to the text phrase from the user is then generated based on the action set and provided to the user.

Abstract: Online 3-dimensional bin packing problem (O3D-BPP) is getting renewed prominence due to the industrial automation brought by Industry 4.0. However, due to limited attention in the past and its challenging nature, a good approximate technique is in scarcity as compared to 1D or 2D problems. Present disclosure provides system and method that considers real-time O3D-BPP of cuboidal boxes with partial information (look-ahead) in an automated robotic sorting center. System presents two rolling-horizon mixed-integer linear programming (MILP) cum-heuristic based algorithms wherein a framework is provided that adapts and improves performance of BP heuristics by utilizing information in an online setting with look-ahead.

Abstract: Aspects of the subject disclosure may include, for example, receiving a notification from a serving base station regarding a communication device over a mobile network indicating discovery of a target base station, and obtaining a device type of the communication device and a first cell identifier of the target base station. Further embodiments include providing instructions to the serving base station to request the communication device to obtain a second cell identifier of the target base station, and obtaining the second cell identifier of the target base station from the serving base station over the mobile network. Additional embodiments include providing instructions to the serving base station to generate a communication link between the serving base station and the target base station based on the second cell identifier. Other embodiments are disclosed.

Abstract: This disclosure relates to a system and method for recommending intelligent railway network access plans and modified access plans based on current status of execution of tasks and train timetables. Herein, the system and method need to consider multiple variables including train timetable changes, activity efficiencies etc. to derive an overall optimum access management solution for the railway network. They can interface with existing operational timetables and cost management systems. It is to be noted that the disclosure herein uses existing data sets for operations and cost data. The cost data is manipulated to identify fixed and variable costs and variability of variable costs with access duration and activity bundling. A trade-off between cost and value is considered which results in a longer continuous time window being available for maintenance, less visits to same location to complete a maintenance task, less time spent in setup/unwind activities and higher labour utilization.

Abstract: This disclosure provides tobacco plants having a mutation in PR50 and transgenic tobacco plants containing a PR50 RNAi, and methods of making and using such plants.

Abstract: A person support apparatus including a person support surface including an actuating device and a controller configured to operate the actuating device to perform a set by preview subroutine and a rotation preview subroutine, wherein, during the set by preview subroutine, the controller receives user input positioning the actuating device into a first preview position and sets the first preview position as a first evaluation position, and wherein, during the set by preview subroutine, the controller receives user input positioning the actuating device into a second preview position and sets the second preview position as a second evaluation position. In embodiments, the controller is configured to simultaneously perform a P&V subroutine during rotation of the person support surface.

Abstract: Medical beds and methods include a processor, an input interface configured to receive commands, and a display device configured to display an output. The medical bed further includes a memory storing program instructions, the program instructions, when executed by the processor, cause the processor to place the medical bed in a restricted mode based upon satisfying a plurality of criteria. The medical bed outputs an indication of the restricted mode on the display device. The medical bed receives first and second movement commands through the input interface, wherein the movement commands are configured to move the medical bed. The medical bed moves based upon a first movement command permitted by the restricted mode. The medical bed maintains a current state of the medical bed upon receipt of a second movement command blocked by the restricted mode, wherein the second movement command differs from the first movement command.

Abstract: Data analysis plays a crucial role to get significant information out of the data. A real time system and method for analyzing data streams have been provided. The system can utilize many different types of data formats such as numeric, text, video, audio, image, or combination thereof. The analysis takes place as per the requirement using an analytical engine and an intermediate output is generated. The intermediate output is further processed using a distributed real time business rule processing engine to determine required conditions in the data. The business rules comprise one or more set of meta data. On match of the business rule, the system triggers an alert or propagates the required information to integrating solution for required actions. The system and method are technology and communication protocol agnostic, and designed with highly efficient load balanced technique, thereby facilitating highly concurrent data processing with minimal latency.

Abstract: A method is disclosed. The method includes receiving a broadcast signal from a beacon device, the broadcast signal encoding a first credential associated with a first entity. In response to receipt of the broadcast signal, the mobile communication device transmits the received first credential to an authentication system. The authentication system determines if the first entity associated with the broadcast signal is authentic and generates a confirmation message confirming the authenticity of the first entity. The mobile communication device then receives the confirmation message indicating that the first entity is authentic. The mobile communication thereafter receives and transmits a second credential for the mobile communication device to the beacon device, which transmits the second credential to the authentication system. The authentication system then confirms the authenticity of the mobile communication device.

Abstract: This disclosure relates generally to a method and a system for computing using a field programmable gate array (FPGA) neuromorphic architecture. Implementing energy efficient Artificial Intelligence (AI) applications at power constrained environment/devices is challenging due to huge energy consumption during both training and inferencing. The disclosure is a FPGA architecture based neuromorphic computing platform, the basic components include a plurality of neurons and memory. The FPGA neuromorphic architecture is parameterized, parallel and modular, thus enabling improved energy/inference and Latency-Throughput. Based on values of the plurality of features of the data set, the FPGA neuromorphic architecture is generated in a modular and parallel fashion. The output of the disclosed FPGA neuromorphic architecture is the plurality of output spikes from the neuron, which becomes the basis of inference for computing.

Abstract: A signal interpretation system includes a communication device, a memory storing instructions, and one or more processors configured to execute the instructions to perform operations including: receiving scanned information including a shape of at least one article scanned with a scanning device to identify the at least one article and identifying a geographic location of the scanning device, when a scan of the at least one article was performed, based on a location signal received from the scanning device. The operations also include evaluating a signal indicative of interest in the identified at least one article and transmitting, via the communication device, a notification based on the evaluated signal, the notification being indicative of the identified at least one article and the identified geographic location, the notification being configured to cause an update in at least one graphical element presented by the scanning device or another device.