Abstract: A provisioning system of a first party provisions a mobile software application to one or more remotely-located mobile computing devices, each mobile computing device running a same device-native mobile operating system. The mobile software application may include executable program code and a structured document such that the executable program code and structured document together instantiate at least a portion of the functionality provided by the mobile application. Moreover, in some embodiments, when the requested and sent mobile application is executed by a requesting mobile device, the structured document is transformed into a tree structure which when updated, updates at least in part the running state of the mobile application.

Abstract: Access is provided for different types of media content provided by disparate publishers, and in formats corresponding to operating characteristics of respective user devices. As consistent with one or more example embodiments herein, media content access is filtered for users requesting access via different user devices, based upon characteristics of the device to which the access is provided, user subscription data and publisher-specific criteria. A user-specific storefront interface is generated for each of a multitude of users, based upon the filtering. Each storefront interface indicates media content that can be displayed at the device to which access is requested, and identifies media content to which the user does and does not have subscription access. The user-specific storefront interfaces are presented at respective user devices, and media content is delivered to each device in response to selections made via the user-specific storefront interfaces.

Abstract: The disclosed technology provides for creating and displaying referential gestures in a content item. In some instances many words may be required to clearly describe a point that can be made in few words by referencing visual media. The present technology provides a method for associating a referential gesture to a text string and a particular location in a visual media item.

Abstract: Aspects of the present disclosure relate to systems and methods for receiving, managing, and displaying annotations on documents in real-time. A user (e.g., an author of a document) uploads a document into a real-time annotation system, which may then generate a composite presentation based on the uploaded document. The composite presentation includes all the content of the document presented in a specially configured graphical user interface to receive and manage annotations from a plurality of user devices.

Abstract: A form filling method and related terminals are disclosed. The method includes scanning, by a first terminal, a digital object identifier generated by a second terminal; acquiring an operational source identifier of a form to be filled and item(s) to be filled from the digital object identifier; acquiring information content(s) corresponding to the item(s) to be filled from a pre-stored correspondence relationship between the information item(s) and the information content(s) and/or through an auxiliary device of the first terminal; and sending the information content(s) corresponding to the item(s) to be filled and the operational source identifier to a first server correspondingly, to enable the second terminal to acquire the information content(s) corresponding to the item(s) to be filled from the first server based on the operational source identifier to fill in the form.

Abstract: There are provided a form generation unit configured to generate form data by performing an overlay process on form information and field data of a form, a storage unit configured to acquire and store character string information rendered in the overlay process, a conversion unit configured to convert the generated form data into editable form data, an acquisition unit configured to acquire character string elements from the editable form data, a grouping unit configured to group the acquired character string elements according to a result of comparing the acquired character string elements with the stored character string information, and a browsing screen generation unit configured to generate data for displaying a browsing screen for browsing and editing the editable form data including the grouped character string elements.

Abstract: A method, a system and a machine-readable data carrier, which are intended to classify input fields and groups of input fields of a webpage, are described. The method for classifying input fields and groups of input fields of a webpage may include a browser extension that contains program elements Content Script and Background Script and a program recognition module. The method may form a hierarchy of HTML-documents of a webpage. A multicomponent system for classifying input fields and groups of input fields of a webpage may include a processor device and a storage, and a set of instructions that, when executed by the processor, control the processor to form a hierarchy with grouped fields and a report file for HTML-documents of the webpage. The instructions may also identify elements of the HTML-documents on the webpage.

Abstract: A system for composing storyline content in multiple productivity applications is provided. The productivity applications are each configured with an authoring pane and a storyline pane. Each productivity application has an authoring pane configured to display and edit the contents of a particular file type. Portions of the content displayed in the authoring pane are selected for the purposes of composing a presentation and the selected content is displayed in the storyline pane. The storyline pane of each application is synchronized to enable users to work within each application and view a current version of the presentation that is being composed while also viewing authored content specific to each application. The selected content displayed in a storyline pane can be used to generate formatted storyline data. The storyline data can be in a Web-based format, a presentation file, a multi-frame image file, a video file, or any other suitable format.

Abstract: Automatic generation of document templates based on recognized composition element patterns in a group of clustered documents is provided. Composition elements used in documents are typically unique to a particular user or to a group of users. An automated template generation system detects composition element patterns in documents associated with a given user. Sequences of composition elements from one document are aligned with sequences of composition elements of one or more other documents. The aligned sequences are scored to generate a document distance matrix. The documents are clustered together based on the alignment scores and a document template is generated for each corresponding cluster of documents. In one or more aspects, selecting a document template and updating it results in a modified document template or, in certain cases, a new document template. The generated document templates are displayed in a user interface for selection by a user.

Abstract: An example operation may include one or more of connecting, by a template generator node, to a blockchain that includes a plurality of user peers, retrieving, by the template generator node, a contract file from a ledger of the blockchain, executing, by the template generator node, chaincode to: extract a plurality of portions of the contract file based on a structure of a contract, determine common portions among the plurality of the portions, determine typical portions of the contract file from the common portions, generate a template based on the typical portions, format the template based on a state chart, and storing, by the template generator node, the template onto the ledger of the blockchain for access by the plurality of the user peers.

Abstract: There is provided a method of computing an ingredient substitute(s), comprising: receiving a target food-recipe data structure, receiving a selection of ingredient(s) for substitution, accessing ingredient substitution data structure(s) each storing substitutes for one of the selected ingredient(s), computing adjusted food-recipe data structure(s) that include a predefined textual code that replaces one of the selected ingredients for substitution, computing for each of the adjusted food-recipe data structures, by a trained neural network, coordinates of a respective adjusted point within a multi-dimensional space, determining, for each of the adjusted food-recipe data structures, the value of the respective coordinates corresponding to each one of the substitute ingredient(s) corresponding to the selected ingredient for substitution, selecting, for each of the selected ingredients for substitution, substitute ingredient indication(s) from the corresponding ingredient substitution data structure according to

Abstract: Methods, systems and computer program products for implementing a mere-parser are disclosed. Text data is processed to generate one or more parse items. A boundary based attribute associated with one of the parse items is identified, and the identified mere attribute is associated with one or more of the remaining parse items that is not blocked from associated with the boundary based attribute.

Abstract: The discussion relates to unconscious bias detection. One example can detect potential bias words in a text sample and suggest alternative phrasing to eliminate the potential bias words from the text sample.

Abstract: Systems, devices, and methods of the present invention detect affective argumentation in text. In an example, an application executing on a computing device accesses text comprising fragments. The application creates a discourse tree from the text. The discourse tree includes nodes, each nonterminal node representing a rhetorical relationship between two of the fragments and each terminal node of the nodes of the discourse tree is associated with one of the fragments. The application matches each fragment that has a verb to a verb signature, thereby creating a communicative discourse tree. The application determines whether the communicative discourse tree represents text that includes affective argumentation by applying a classification model trained to detect affective argumentation to the communicative discourse tree.

Abstract: A morpheme analysis unit sets beforehand a meaning-candidate tag and a sentimental theme tag for a morpheme required to be input as a text. A syntax analysis unit generates an index where a clause including a meaning-candidate tag and a sentimental theme tag and a type of each tag. A meaning attribute extraction unit recognizes a clause including a meaning-candidate and a type of tag with reference to the index, and then applies a meaning attribute rule, sets a meaning attribute tag for a necessary clause, and updates the index. A sentimental analysis unit also recognizes a clause including a sentimental theme tag and a clause including a meaning attribute tag with reference to the index, and then applies a sentimental analysis rule and sets a sentimental attribute tag for a necessary clause.

Abstract: Generally described, one or more aspects of the present application correspond to a machine learning address normalization system. A system of deep learning networks can normalize the tokens of a free-form address into an address component hierarchy. Feature vectors representing various characters and words of the address tokens can be input into a bi-directional long short term memory network (LSTM) to generate a hidden state representation of each token, which can be individually passed through a softmax layer to generate probabilistic values of the token being each of the components in the address hierarchy. Thereafter, a conditional random field (CRF) model can select a particular address component for each token by using learned parameters to optimize a path through the collective outputs of the softmax layer for the tokens. Thus, the free-form address can be normalized to determine the values it contains for different components of a specified address hierarchy.

Abstract: Candidate identification and matching for professional positions, and associated systems and methods are disclosed herein. A representative method includes obtaining first key phrase groups based on textual input, converting the first key phrase groups into vectors defined in accordance with a collection of key phrases, generating a set of topics based on the vectors, generating second key phrase groups based on an association between individual topics of the set of topics and the collection of key phrases, and identifying documentation associated with one or more candidates for a professional position based on the second key phrase groups.

Abstract: A method includes detecting, by sensors, a current context associated with an electronic device. The method includes dynamically loading a neural network and selected features into a phrase-spotting audio front-end (AFE) processor. The neural network is configured, based on the current context, with at least one domain having an associated set(s) of trigger words. The method includes detecting, audio content that matches a trigger word from among the sets of trigger words associated with the at least one selected domain. The method includes in response to detecting audio content that matches the trigger word, outputting a wake-up signal to an application processor (AP). The AFE processor utilizes less computational resources than the AP. The method includes, in response to receiving the wake-up signal, the AP waking up and performing additional computation based on the matching trigger word. The method includes outputting results of the additional computation to an output device.

Abstract: Systems and processes for processing natural language input are described. An example process for processing natural language input includes receiving a natural language input and determining a domain corresponding to the natural language input. The example process further includes, in accordance with determining the domain corresponding to the natural language input, determining, based on the natural language input, a first value for a first property of the domain and determining, based on a named entity model and the natural language input, a second value for the first property of the domain, where the second value defines a parameter for a task corresponding to the natural language input. The example process further includes performing the task based on the parameter and providing a result based on the performed task.

Abstract: Methods, systems, and computer program products for bootstrapping of state-based dialog systems are provided herein. A computer-implemented method includes determining parameters for state automata by partitioning an ontology graph into sub-graphs and a knowledge graph into sub-graphs, wherein the ontology graph and the knowledge graph are based on a user question and domain knowledge pertaining to the user question; generating a structured query for each of the sub-graphs; determining intentions of a dialog pertaining to the at least one user question by translating each of the generated structured queries to a respective natural language query; creating one or more dialog states for each of the determined dialog intentions; creating one or more connecting dialog states between pairs of the created dialog states; and generating an automata dialog framework associated with the user question based on the created dialog states and the created connecting dialog states.

Abstract: Systems, devices, and methods of the present invention are related to determining an intent of an utterance. For example, an intent classification application accesses a sentence with fragments. The intent classification application creates a parse tree for the sentence. The intent classification application generates a discourse tree that represents rhetorical relationships between the fragments. The intent classification application matches each fragment that has a verb to a verb signature, thereby creating a communicative discourse tree. The intent classification application creates a parse thicket by combining the communicative discourse tree and the parse tree. The intent classification application determines an intent of the sentence from a predefined list of intent classes by applying a classification model to the parse thicket.

Abstract: A control platform that involves a natural language engine with a risk-based corpora, a rules engine with feature vectors from labelled change records, and topic model to generate an expected label for an additional change record based on training data generated from the labelled change records and the risk-based corpora.

Abstract: Methods are provided for semantic processing of data files including detecting formats of data embedded in the data files and converting the data to formats compatible with a data analysis tool. The method may comprise semantically analyzing components of the data files to assess formatting across a required set of criterions needed by the data analysis tool and determining sets of data manipulation operations to perform to convert the data file to a compatible format. Semantic analysis of values in criterions across data entries may allow for groups of entries to be associated together with transaction ID values common to and unique to the groups of entries associated with a common transaction. The method may group data entries based on values in criterions, test potential groupings based on a behavior test to assess characteristics of entries when grouped in the proposed manner, and generate a new transaction ID criterion in each of the data entries.

Abstract: Documents in a source natural language are translated into one or more target natural languages using a computer-implemented translation tool that is configured to operate within the domain of life science that imposes specialized requirements for translation and readability. Life science documents typically include domain-specific terminology, are subject to various regulatory guidelines, and have different readability requirements depending on the intended reader. The computer-implemented translation tool applies machine-learning techniques that deconstruct elements of a life science document into a standard data structure and perform pre-processing steps to tokenize digitized document text to identify the correct sentence structure and syntax for the target natural language to optimize translation by a translation engine such as a neural machine translation engine.

Abstract: Systems and methods for determining knowledge-guided information for a recurrent neural networks (RNN) to guide the RNN in semantic tagging of an input phrase are presented. A knowledge encoding module of a Knowledge-Guided Structural Attention Process (K-SAP) receives an input phrase and, in conjunction with additional sub-components or cooperative components generates a knowledge-guided vector that is provided with the input phrase to the RNN for linguistic semantic tagging. Generating the knowledge-guided vector comprises at least parsing the input phrase and generating a corresponding hierarchical linguistic structure comprising one or more discrete sub-structures. The sub-structures may be encoded into vectors along with attention weighting identifying those sub-structures that have greater importance in determining the semantic meaning of the input phrase.

Abstract: A data processing method includes (a) executing a messaging application program and other application programs on a computer system; (b) analyzing text in each message handled by the messaging application program to identify textual data items in the message that can potentially be processed by the application programs; (c) displaying the analyzed messages to the user, such that each textual data item in the messages is visually marked and selectable by the user; (d) receiving an input from the user selecting a textual data item; (e) broadcasting information on the selected textual data item to the application programs; (f) determining independently through each of the application programs whether the broadcasted information is semantically relevant to that application program; and (g) if so, processing the information through the application program and displaying results to the user.

Abstract: A system described herein may provide for the adaptation and/or expansion of a natural language processing (“NLP”) platform, that supports only a limited quantity of intents, such that the described system may support an unlimited (or nearly unlimited) quantity of intents. For example, a hierarchical structure of agents may be used, where each agent includes multiple intents. A top-level (e.g., master) agent may handle initial user interactions, and may indicate a next-level agent to handle subsequent interactions.

Abstract: An intelligent computer platform to provide intent identification, mining and refinement, and dynamic application of the intent to pipeline. Natural language processing (NLP) is utilized with respect to the intent identification and refinement. A pipeline tool to support the function of the intent is identified, and a corresponding dynamic modification of a corresponding pipeline template takes place to integrate the tool into a stage of the corresponding template. Program code that aligns with the dynamic modification of the pipeline template is generated, thereby incorporating the searched intents into the functional aspect(s) represented in the pipeline.

Abstract: An improved lecture support system integrates multi-media presentation materials with spoken content so that the listener can follow with both the speech and the supporting materials that accompany the presentation to provide additional understanding. Computer-based systems and methods are disclosed for translation of a spoken presentation (e.g., a lecture, a video) along with the accompanying presentation materials. The content of the presentation materials can be used to improve presentation translation, as it extracts supportive material from the presentation materials as they relate to the speech.

Abstract: A radio frequency identification (RFID) tray for use with a cloud application platform is described. A cloud application, operatively coupled to the RFID tray via the cloud application platform, issues a command to the RFID tray. The issued command is received by an embedded agent of the RFID tray. Based on the received command, the RFID tray performs an RFID scan of one or more RFID-tagged items placed on or in the RFID tray, and the embedded agent sends the tag information from the one or more RFID-tagged items to a cloud application of the cloud network that tracks an inventory of the RFID-tagged items.

Abstract: The present disclosure relates generally to electronic devices, and more particularly, to electronic devices that utilize electromagnetic signals (e.g., radio frequency (RF) signals), transmitters, and receivers in various processes, such as cellular and wireless device processes in a at least partially metal enclosure. The present disclosure describes devices that may be used to wirelessly transmit and/or receive electromagnetic signals between processing components and sensing components, for example, by improving sensing device design and thus forming an integrated sensing tag that leverages passive RF technology, such as radio frequency identification (RFID) tags.

Abstract: An electronic shelf label system comprising a plurality of electronic shelf labels is provided.

Abstract: A RFID reader RFID reader may include an antenna that outputs signals and receive signals reflected from an object moving relative to the antenna, and circuitry configured to receive the reflected signals from the antenna. The reflected signals may determine that the motion has occurred relative to the antenna or be cancelled using a signal generated based on the reflected signals.

Abstract: This disclosure describes a system, method, and apparatus for efficiently tracking inventory using RFID tags (e.g., RFID tags). For example, an RFID tag reader may perform an inventory mode to receive RFID tag identifiers from RFID tags located within a range of an antenna element of the RFID tag reader. Those RFID tag identifiers may be included on an inventory table associated with the antenna element. In a second mode, the RFID tag reader may perform a targeted read. During a targeted read mode, the RFID tag reader, utilizing the antenna element, may issue a request for a selected RFID tag identified in the inventory table to reply to the request.

Abstract: In various embodiments, a method of decoding a custom cooking program includes using a tag reader to read heating instruction data encoded in an electronic tag, determining heating phases based on the read heating instruction data, and automatically controlling a heating apparatus to execute the determined heating phases.

Abstract: Provided is self-identifying personal protective equipment and methods of monitoring the same. The personal protective equipment may include a wireless tag positioned on or incorporated into an individual's face piece and a wireless tag reader positioned on or incorporated into the breathing apparatus of the personal protective equipment. The wireless tag reader may transmit an interrogation signal to the wireless tag upon actuation of the breathing apparatus, such as actuation of the flow of air through the breathing apparatus to the face piece. The face piece may then be identified automatically with the use of the personal protective equipment.

Abstract: An electromagnetic interposer circuit is attachable to an article that is also equipped with an anti-counterfeit and anti-theft/tracking electromagnetic marker. The interposer circuit includes a first interface for exchanging electrical signals with the marker at a first, shorter, communication range and a second interface coupled to the first interface for exchanging electromagnetic signals with a reader at a second, longer, communication range. The first and second interfaces exchange signals with the marker and the reader, respectively, over a radiofrequency bandwidth that includes a first frequency band and a second frequency band. A filter circuit block within the interposer circuit between the first interface and the second interface operates to block the transfer of signals between the first interface and the second interface over the first frequency band.

Abstract: A wearable device includes a radio-frequency identification (RFID) tag having a memory that stores identification information. The wearable device also has a power harvesting circuit configured to harness power from electromagnetic radiation. Further, the wearable device has a sensor coupled to the power harvesting circuit and configured to utilize the power to monitor a condition of the wearable device. Even further, the wearable device has a microcontroller coupled to the sensor and configured to write data indicative of the condition to the memory of the RFID tag, wherein the RFID tag is configured to transmit the identification information and the data in response to receipt of the electromagnetic radiation from an RFID reader.

Abstract: A radiofrequency identification (RFID) reader device includes a radiofrequency device configured to transmit and receive electromagnetic radiation through an antenna array. An RFID control computing device is coupled to the radiofrequency device and includes a memory coupled to a processor which is configured to be capable of executing programmed instructions comprising and stored in the memory to operate the radiofrequency device in a first mode to transmit a first radiofrequency beam to a scan area through the antenna array. A spatial location for RFID tags located within the scanned area is determined from a radar image. The radiofrequency device is operated in a second mode to transmit a second radiofrequency beam to at least one of the RFID tags, based on the determined spatial location of the RFID tags, to power an integrated circuit or sensor located on and to communicate with the at least one of the RFID tags.

Abstract: A method is provided for operating an optical sensor unit comprising markings arranged on a piston rod of a cylinder of an industrial truck.

Abstract: Systems and methods for synchronizing a barcode decode with a video camera to improve accuracy of retail POS loss prevention are disclosed herein. An example system includes a video camera configured to capture a set of frames associated with a target object, the set of frames having a first number of frames; a symbology reader configured to: (i) decode a symbology attached to the target object and (ii) generate a signal based on the successful decoding of the symbology attached to the target object; and a processor configured to analyze a sub-set of the set of frames based on the signal, the sub-set of the set of frames having a second number of frames that is smaller than the first number of frames.

Abstract: An information reader includes a reader main unit and a case. The case houses therein an inner pad serving as an electrostatic capacity type of switch used by an operator to enable an information reading unit to read information. The inner pad is assembled within the case to be directed toward a touch detection region of the case. A switch unit, which is separated from the reader main unit, is provided with a touch electrode pad to which electrical charge is applied in response to an operator's touch operation, a wiring line one of whose both ends is electrically connected to the touch electrode pad, and a transmission pad to which the other end is electrically connected. The transmission pad is assembled with the case on the outer surface thereof.

Abstract: A wearable electronic device includes: an optical reader configured to read information; a wearable member to be worn so as to cover at least a part of a back of a hand and a finger; and a support part provided on a surface of the wearable member and configured to support the optical reader. The support part is formed to change a position of the optical reader during the wearable member being worn to at least two positions. The two positions are a fingertip-side and a back-side of a hand with respect to a boundary that is a third joint of the finger.

Abstract: A virtual agent for resolving an issue with one or more objects is described, wherein each object is accessible by one of more users of a customer. The virtual agent receives information derived from one or more coded optical indicia specifying an intent of a virtual agent conversation, wherein the intent identifies an issue to be resolved; and based on the intent, process the information to further resolution of the issue. The received information may further specify at least one parameter, wherein the at least one parameter represents supplemental information required for resolution of the issue.

Abstract: Disclosed embodiments relate to systems and methods for securely communicating data via encoded scannable codes. Techniques include identifying data to be communicated, identifying fictive data, accessing a manipulation factor, generating a scannable code comprising codes corresponding to the data and fictive data manipulated according to the manipulation factor, and making the code available for decoding by a scanning device. Further techniques include scanning a scannable code via a scanning device, separating the scannable code into multiple codes according to a manipulation factor, decoding the code(s) corresponding to the data to obtain the data, and refraining from decoding the code(s) corresponding to the fictive data.

Abstract: A display device is provided and includes a flexible display screen, a fingerprint identification sensor and a support frame. The support frame includes a bottom wall and a side wall surrounding the bottom wall, the bottom wall and the side wall cooperatively define an accommodating space. The fingerprint identification sensor is received in the accommodating space. The side wall has a top end, the top end has a first face facing the flexible display screen and a second face abutting with the fingerprint identification sensor. A mobile terminal is further provided.

Abstract: A sensing unit includes a first sensing part including a plurality of sensing electrodes and a plurality of connection electrodes connecting the plurality of sensing electrodes, a second sensing part including a plurality of first electrodes and a plurality of second electrodes crossing the plurality of first electrodes, and a sensing compensation part including a first compensation electrode part crossing the plurality of first electrodes and a second compensation electrode part crossing the plurality of second electrodes.

Abstract: A fingerprint sensing panel and a fingerprint sensor thereof are provided. The fingerprint sensor includes first to third switches, a first capacitor, an impedance variation element and a sensing circuit. The first switch receives a system high voltage and is controlled by a pre-charge signal. The first capacitor is coupled between the first switch and a reference voltage. The impedance variation element is coupled between the first switch and the reference voltage, and an impedance value of the impedance variation element is changed according to a vertical distance between the impedance variation element and a skin surface. The second switch receives the system high voltage. The third switch receives a read signal. The sensing circuit is coupled to the third switch and provides a fingerprint determination voltage.

Abstract: Methods, apparatuses, systems, and implementations of an ultra-compact RF (30 GHz-10 THz) imaging sensor topology that provides a new insight into the human skin are disclosed. The skin tissue is the largest organ in the body—both in weight and surface area—and stores valuable information that can revolutionize security biometrics and mobile health monitoring. The proposed compact sensor enables, for the first time, portable and wearable devices to perform superior biometric authentication compared to current fingerprint methods. Additionally, these devices could probe into the skin to monitor vital signs in real-time and enable mobile health monitoring.

Abstract: An example gate driver for an array of sensing pixels is disclosed. The gate driver includes a first flip-flop including a first data input and a first data output. The first data output is coupled to a first group of sensing pixels of the array. The gate driver also includes a second flip-flop including a second data input and a second data output. The second data output is coupled to a second group of sensing pixels of the array. The gate driver further includes a first insertion circuit configured to receive a first start signal and to cause, based on the first start signal, the second flip-flop to drive the second group of sensing pixels without the first flip-flop driving the first group of sensing pixels for a scan of the array.