Abstract: The present disclosure relates to methods and systems for identifying an individual in a crowd. The method comprises the steps of capturing a plurality of crowd-viewing images using multiple image-capturing devices. For each image, a reference point within a facial contour of a person in the image is selected. The reference point is selected based on a facial feature on the facial contour of the person. The method further comprises the step of processing the image to obtain one or more angular measurements associated with a posture displayed by the person in the image. Based on the obtained angular measurements, location data of a predetermined body point of the person relative to the reference point is extracted.

Abstract: A system tokenizes raw values and corresponding standardized values into raw token sequences and corresponding standardized token sequences. A machine-learning model learns standardization from token insertions and token substitutions that modify the raw token sequences to match the corresponding standardized token sequences. The system tokenizes an input value into an input token sequence. The machine-learning model determines a probability of inserting an insertion token after an insertion markable token in the input token sequence. If the probability of inserting the insertion token satisfies a threshold, the system inserts the insertion token after the insertion markable token in the input token sequence. The machine-learning model determines a probability of substituting a substitution token for a substitutable token in the input token sequence.

Abstract: A training set is created via creating adjacent classified substrings by using character classes to replace corresponding characters in adjacent substrings in each training character string, and associating each pair of adjacent classified substrings and each pair of adjacent substrings with corresponding labels indicating whether corresponding pairs include any token boundary. The system splits input character string into beginning and ending parts and creates classified beginning part by replacing beginning part character with corresponding class and classified ending part by replacing ending part character with corresponding class. The machine-learning model determines probability of token identification, based on training set to determine count of instances that classified beginning part is paired with classified ending part and count of corresponding labels that indicate inclusion of any token boundary.

Abstract: New account recommendations for user account sets are described. A system creates an accounts profile for a set of accounts based on multiple attributes associated with each account of the set of accounts. The system calculates an account score for an account based on comparing multiple attributes associated with the account against the accounts profile, wherein the account is not in the set of accounts. The system determines whether the account score satisfies an account score threshold. The system recommends the account to a user associated with the set of accounts if the account score satisfies the account score threshold.

Abstract: Methods and systems for performance modeling of crowd estimation techniques are provided. The system for modeling of crowd estimation techniques includes one or more crowd estimation modules for estimating a crowd count of a crowd in an image and a performance modeling module for each of the one or more crowd estimation modules.

Abstract: Methods and systems for crowd level estimation are provided. The system for crowd level estimation includes an input module and a crowd level estimation module. The input module receives an input image of a crowd and the crowd level estimation module estimates a crowd level of the crowd in the input image in response to a crowd density level.

Abstract: Systems, methods, techniques and apparatuses of short circuit protection are disclosed. One exemplary embodiment is a method for protecting a semiconductor switch comprising receiving a measurement corresponding to an electrical characteristic of the semiconductor switch; determining a semiconductor switch resistance value using the received measurement; estimating a junction temperature of the semiconductor switch using the semiconductor switch resistance value; determining a short circuit voltage threshold using the estimated junction temperature; comparing the short circuit voltage threshold to a test voltage corresponding to a drain-source voltage of the semiconductor switch; determining a short circuit condition is occurring in response to comparing the short circuit voltage threshold and the test voltage; and opening the semiconductor switch in response to determining the short circuit condition is occurring.

Abstract: Some embodiments of the present invention include a method for identifying duplicate records from a group of records in a database system.

Abstract: Systems and methods for insertion of a watermark into images and tampering detection of the watermarked images by a Convolutional Neural Network (CNN) technique. The traditional systems and methods provide for detecting the tampering of the watermarked images by simply identifying a presence of an inserted watermark into an image but none them provide for inserting a random sequence into input image(s) and then detect the tampering by classifying the input image(s) by a neural network.

Abstract: Automated recovery of execution roles in a distributed historian system in accordance with actions and rules customized to each execution role. A monitoring service monitors the health status of execution roles and automatically performs a corrective action in response to the health state of an execution role triggering a predetermined rule.

Abstract: The present invention provides a method for determining real-time location of a vehicle using a mobile device without GPS for the user travelling inside the vehicle. According to the embodiment of the present invention, the location of the vehicle is determined using the locations of the cell-towers to which a mobile phone of a user is connected, and projects these cell tower locations onto the selected route of the user journey to obtain a closest point and thereby determining the user location. The invention also provides the real-time location of the vehicle over internet to users outside the vehicle by crowd-sourcing the cell-tower data of the passengers inside the vehicle.

Abstract: A charging pad for charging one or more receiver devices is disclosed. The charging pad includes at least one first resonator coil operable at a first frequency band and at least one second resonator coil operable at a second frequency band. Further, the charging pad includes at least one exciter coil magnetically coupled to the at least one first resonator coil and the at least one second resonator coil. In addition, the charging pad includes an excitation unit operationally coupled to the at least one exciter coil and configured to drive the at least one first resonator coil and the at least one second resonator coil via the at least one exciter coil.

Abstract: An operating shaft and an actuation mechanism for a disc brake. The actuation mechanism may include a wear adjuster mechanism and the operating shaft. The operating shaft may include opposed pairs of arcuate surfaces arranged with offset axes of rotation and a recess therebetween for accommodating a portion of the wear adjuster mechanism.

Abstract: Methods and systems for crowd level estimation are provided. The system includes a plurality of performance modeling modules (206), an input module (202) and a crowd estimation technique integration module. The plurality of performance modeling modules (206) performance model each of a plurality of crowd estimation techniques based on an accuracy thereof at different crowd levels and/or at different locations. The input module (202) receives an image of a crowd. The crowd estimation technique integration module (208) selects one or more of the plurality of crowd estimation techniques in response to the performance modeling of the one or more of the plurality of crowd estimation techniques and an estimated crowd level and/or an estimated location. The crowd estimation technique integration module (208) then estimates a crowd count of the crowd in the received image in accordance with the selected one or more of the plurality of crowd estimation techniques.

Abstract: A colposcope includes a handle assembly, an elongate member extending distally from the handle assembly, and a camera assembly including a neck portion coupled to the elongate member, and a body portion. The handle assembly includes a grip, a trigger movable relative to the grip, and an articulation dial operatively coupled with the body portion of the camera assembly. The elongate member includes a plurality of lumens. The body portion of the camera assembly includes an image sensor assembly having an image sensor and light emitters. The image sensor assembly is operatively coupled with the trigger of the handle assembly such that when the trigger is actuated the image sensor captures images of a target.

Abstract: A method and system of matching field values of a field type are described. Blurring operations are applied on a first and second values to obtain blurred values. A first maximum score is determined from first scores for blurred values, where each one of the first scores is indicative of a confidence that a match of the first and the second values occurs with knowledge of a first blurred value. A second maximum score is determined from second scores for the blurred values, where each one of the second scores is indicative of a confidence that a non-match of the first and the second values occurs with knowledge of the first blurred value. Responsive to determining that the first maximum score is greater than the second maximum score, an indication that the first value matches the second value is output.

Abstract: A method and system for estimating a number of distinct entities in a set of records are described. For each one of a subset of records, a set of match rule keys are generated based on a set of match rules. Each match rule from the set of match rules defines a match between records, and each match rule key from the set of match rule keys includes at least a key field value. A high order key for the record is determined based on the match rule keys, and a counter associated with the high order key is incremented. When each record from the subset of records has been processed by determining the match rule keys, and incrementing the counter(s) of the high order keys, a sum of a number of counters that have a non-zero value is performed to estimate the distinct entities in the records.

Abstract: The present invention relates to systems for planning use of resources under consideration of time constraints. The present invention further relates to methods for scheduling use of resources under consideration of time constraints.

Abstract: Some implementations of the disclosure are directed to extracting text about networking entities from textual networking data sources, the textual networking data sources including human readable textual data sources; using natural language processing to tokenize the extracted data to obtain tagged data including networking entities and intents; and filtering out from the extracted data, using at least a dictionary of networking terms, data unrelated to networking troubleshooting. Further implementations are directed to building a graph using at least the tagged data including the networking entities and intents, where the graph includes a plurality of nodes and a plurality of links, where each of the plurality of nodes includes a networking entity.

Abstract: Methods, systems, and computer program products for determining collaborative enterprise decisions based on regulatory impacts are provided herein. A computer-implemented method includes generating, for each one of multiple target entities within an enterprise, impact functions pertaining to entity-specific impacts of a regulation on one or more impact factors; producing weighted impact functions by applying, to the generated impact functions, weights determined by the multiple target entities; calculating a combined enterprise impact attributed to the regulation by combining the weighted impact functions via one or more algorithms; determining a single collaborative enterprise policy for complying with the regulation based at least in part on the combined enterprise impact; and outputting the collaborative enterprise policy to the multiple target entities within the enterprise.