Abstract: A system for opening and closing a sliding vehicle door includes a vehicle door that engages with the body in the closed position. A longitudinal track is fixedly mounted to an interior of the vehicle door. A hinged bracket is fixedly mounted to the vehicle body adjacent an opening defined by the vehicle body. The hinged bracket has a laterally compressed shape when the door is closed, and expands laterally outward when the door is opened. The door and the track fixed thereto slide longitudinally along the opened hinged bracket when the door is opened. The interface between the hinged bracket and the track remains at the same generally location relative to the vehicle body, and shifts relative to the vehicle door when the door is opened.

Abstract: An electronic apparatus is disclosed. The apparatus includes a memory configured to store at least one pre-registered voiceprint and a first voiceprint cluster including the at least one pre-registered voiceprint, and a processor configured to, based on a user recognition command being received, obtain information of time at which the user recognition command is received, change the at least one pre-registered voiceprint included in the first voiceprint cluster based on the obtained information of time, generate a second voiceprint cluster based on the at least one changed voiceprint, and based on a user's utterance being received, perform user recognition with respect to the received user's utterance based on the first voiceprint cluster and the second voiceprint cluster.

Abstract: An automatic method improves calibration of the camera by detecting key body points on people in images (100); extracting, from the key body points, orthogonal lines that extend from a head to feet of the people (110); selecting, from the orthogonal lines, head-toe lines of the people who are standing upright in the images (120); and calibrating the camera from the head-toe lines of the people who are standing upright in the images (130).

Abstract: A system for directing a vehicle using detected and tracked pallet pocket comprises the vehicle, a navigation system, and a command system which detect and track a pallet pocket during automated material handling using the vehicle where load positions vary and are not accurately known beforehand.

Abstract: An SCR after-treatment system for a locomotive engine includes an enclosure defining an exhaust flow path from an inlet to an outlet, the inlet being flexibly connected to an exhaust outlet of the engine, an injector located in the inlet and configured to provide an aerosolized reductant into the exhaust flow path, a mixing tube extending from the inlet into the enclosure towards a back wall of the enclosure; a plurality of catalyst cells extending parallel to the mixing tube; the exhaust flow path traveling through the plurality of catalyst cells between the mixing tube and the outlet, and a side channel located between the mixing tube and the plurality of catalyst cells. The enclosure is configured to create low back pressure and an even distribution of the exhaust flow path across the plurality of catalyst cells.

Abstract: An information management system according certain aspects for archiving file system content may include a third-party application archiving data agent configured to: access third-party application archiving rules for archiving data to one or more secondary storage devices, wherein the third-party application archiving rules are defined by a third-party application to archive files associated with the third-party application; access third-party metadata associated with a plurality of files in a file system, wherein the plurality of files is associated with the third-party application and the third-party metadata is defined by the third-party application; determine whether to archive one or more files of the plurality of files based at least in part on the third-party application archiving rules and the third-party metadata; and in response to determining that a first file of the plurality of files should be archived, archive the first file to the one or more secondary storage devices.

Abstract: Computer implemented reconstruction of compliance mapping due to an update in a regulation in the compliance mapping by a computing device includes comparing a first version of a regulation in the compliance mapping to a second, updated version of the first regulation. A change in the second version with respect to the first version is identified. The change may be an added control description, a deleted control description, or an updated control description. Upon determining that the change is an updated control description, the updated control description is analyzed to determine a type of update. The mapping of the regulation is reconstructed based on the change and, if the change is an updated control description, the type of update, using at least one of natural language processing and/or machine learning. The risk of the reconstructed mapping is assessed, and a service owner is notified about the risk of the changes.

Abstract: A system determines a name probability based on a first name dataset frequency of a first name value stored by a first name field in a personal record and a last name dataset frequency of a last name value stored by a last name field in a personal record. The system determines at least one other probability based on another dataset frequency of another value stored by another field in the personal record and an additional dataset frequency of an additional value stored by an additional field in the personal record. The system determines a combined probability based on the name probability and the at least one other probability. The system increments a count of identifiable personal records for each personal record that has a corresponding combined probability that satisfies an identifiability threshold. The system outputs a message based on the count of identifiable personal records.

Abstract: This document describes a system and method for identifying persons-of-interest based on images and/or information captured by image capturing devices and information provided by third party sources/databases. In particular, this document describes a system that comprises at least one set of image capturing devices that are provided at a particular location-of-interest, a remote database that is configured to receive the captured images and its associated information from the set of image capturing devices, a server and a third party database whereby the remote database, the server and the third party database are all communicatively connected together. The server is then configured to utilize information from the remote database and the third party database to identify persons-of-interest from the images of individuals that were captured by the set of image capturing devices.

Abstract: Adaptive field-level matching is described. A system identifies first elements in a field of a prospective record for a database, and second elements in the field of a candidate record, in the database, for matching the prospective record. The system identifies features corresponding to any of the first elements that are identical to any of the second elements, any of the first elements that are absent from the second elements, and any of the second elements that are absent from the first elements. A machine-learning model uses the features to determine a field match score for the candidate record's field. Another machine-learning model weighs the field match score and weighs another field match score for another field of the candidate record to determine a record match score for the candidate record. If the record match score satisfies a threshold, the system identifies the candidate record as matching the prospective record.

Abstract: A method of detecting a phishing event comprises acquiring an image of visual content rendered in association with a source, and determining that the visual content includes a password prompt. The method comprises performing an object detection, using an object detection convolutional network, on a brand logo in the visual content, to detect one or more targeted brands. Spatial analysis of the visual content may be performed to identify one or more solicitations of personally identifiable information. The method further comprises determining, based on the object detection and the spatial analysis, that at least a portion of the visual content resembles content of a candidate brand, and comparing the domain of the source with one or more authorized domains of the candidate brand. A phishing event is declared when the comparing indicates that the domain of the source is not one of the authorized domains of the candidate brand.

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: The disclosure provides compounds of formula (I), including their salts, as well as compositions and methods of using the compounds. The compounds have activity against hepatitis C virus (HCV) and may be useful in treating those infected with HCV.

Abstract: An experimentation platform controls testing of features by an application server. Based on a user identifier, the experimentation platform determines which feature should be provided, and the application server provides the corresponding version of a user interface. If the user behavior data shows that using a tested feature results in an improvement, the tested feature will be adopted. To determine whether or not an improvement is observed, a statistically significant amount of data is gathered. The experimentation platform gathers data regarding user behavior for the feature versions and, in response, adjusts the frequency at which each version is served. Providing the proposed version to an increased percentage of users decreases the total number of page serves required to gather statistically significant data. The experimentation platform may provide an updated projected time to completion of testing based on the changed percentage of users receiving the proposed version.

Abstract: Systems and methods are disclosed herein for optimizing the supply of products to industrial plants. Each of multiple data streams in a plant are mapped to a common hierarchical data structure, wherein the data streams correspond to respective values or states associated with process elements. The mapped data streams define hierarchical process relationships between subsets of the respective process elements. One or more of the process elements are determined as correlating to consumption for each of the supplied products. Real-time data are collected to populate at least one level of the hierarchical data structure for one or more of the data streams, and data is inferred to virtually populate the at least one level of the hierarchical data structure for at least one other data stream, based on the collected real-time data for data streams having defined derivative relationships therewith. An output corresponding to a replenishment schedule is dynamically produced for each supplied product.

Abstract: Systems and methods are disclosed herein for contextual data analysis and proactive intervention in industrial plant processes. Each of multiple data streams in an industrial plant are mapped to a common hierarchical data structure, wherein the data streams correspond to respective values or states associated with unit operations, assets, and process streams in the plant. The mapped data streams define hierarchical process relationships between subsets of the unit operations, assets, and process streams. Real-time data is collected to populate at least one level of the hierarchical data structure for certain data streams, wherein future outcomes are predicted for downstream operations based on the collected real-time data for at least one data stream, and at least one other data stream having a defined hierarchical process relationship therewith.

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 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: An electronic device comprising a lower deck and an upper deck adjacent to a source. Each of the lower deck and the upper deck comprise tiers of alternating conductive materials and dielectric materials. Each of the lower deck and the upper deck also comprise an array region and one or more non-array regions. Memory pillars are in the lower deck and the upper deck of the array region and the memory pillars are configured to be operably coupled to the source. Dummy pillars are in the upper deck of the one or more non-array regions and the dummy pillars are configured to be electrically isolated from the source. Another conductive material is in the upper deck and the lower deck of the one or more non-array regions. Additional electronic devices and related systems and methods of forming an electronic device are also disclosed.

Abstract: The present application discloses method and sewer (111) for detecting faults associated with a gas chromatograph device (100) in a process plant. The gas chromatograph device (100) is associated with a database (110) configured to store a measured chromatogram, and historic chromatograms. Initially, the server receives the measured chromatogram from the database. Upon receiving the measured chromatogram, the server is configured to detect at least one real-time symptom for measured chromatogram. The real-time symptoms may be detected by comparing the historic chromatograms with predetermined configuration data to the measured chromatogram. Upon detecting the real-time symptoms, the server is configured to determine faults associated with the gas chromatograph device. The faults are determined by mapping the real-time symptoms and fault signature data received from the database.