Abstract: Systems and methods allow for floor plan generation for device visualization and use. For example, image data may be utilized to segment a building from non-building elements in an image, and the outline of the building may be utilized to generate a floor plan of the building. A user interface may be generated to present the floor plan and allow for placement of representations of walls, doors, windows, and electronic devices within the floor plan. Placement of these elements may be performed in response to input from a user and/or may be performed automatically utilizing naming indicators, device-affinity data, historical usage data, signal-strength data, etc. Once placed, the device representations may be utilized to operate the devices and display related information, such as alerts.

Abstract: A method for designing a tool string for use in a wellbore includes receiving a merit function, and determining, with a computing system and based on the merit function, a tool string design for a tool string. The merit function comprises one or more defined objectives for performing a process in a wellbore. The tool string design comprises an indication of one or more tools used to form a tool string for performing the process in the wellbore, and the tool string design satisfies the merit function.

Abstract: A virtual reality system can comprise a virtual reality headset, one or more position tracking sensors, and a computerized architectural design environment. The position tracking sensors can identify a relative location of the user with respect to a physical space. The computerized architectural design environment can comprise a computer-implemented method for displaying a three-dimensional view of an architectural design to a user through the one or more virtual reality components. The method can comprise receiving a communication from the one or more position tracking sensors, rendering at least a portion of an architectural design file, and transmitting to the virtual reality headset the rendered portion of the architectural design file.

Abstract: The present disclosure is directed to a software tool that facilitates coordination between various parties that are involved in the process of rectifying a problem identified in a combined three-dimensional model file. In one implementation, the software tool may cause a computing device to (a) receive an indication requesting creation of a coordination issue that relates to a portion of a rendered three-dimensional view of a construction project, (b) in response to the receipt of the indication, create a data set defining the coordination issue, the data set including (i) a representation of the portion of the rendered three-dimensional view, and (ii) data indicating an assignee of the coordination issue, and (c) cause an indication of the coordination issue to be presented to a client station associated with the assignee.

Abstract: A device and method for building life cycle sustainability assessment using probabilistic analysis method, the device and method being capable of assessing and predicting building life cycle sustainability, and a recording medium storing the method.

Abstract: Methods, systems and media for simulating or analyzing voltage drops in a power distribution network can use an iterative approach to define a portion of a design around a victim to capture a sufficient collection of aggressors that cause appreciable voltage drop on the victim. This approach can be both computationally efficient and accurate and can limit the size of the data used in simulating dynamic voltage drops in the power distribution network.

Abstract: A flow analysis apparatus is provided. The flow analysis apparatus includes a flow analyzer configured to derive a plurality of output signals by performing flow analysis for a plurality of cells by using a flow analytic model for simulating numerical analysis by Computational Fluid Dynamics (CFD) with respect to a plurality of cells that divide a space around a component, and an analysis optimizer configured to perform optimization for the plurality of output signals.

Abstract: A method for guided design generation includes receiving a plurality of image samples for an intended design and generating a first plurality of images by providing a positive latent vector to a first layer out of a plurality of layers and a negative latent vector to remaining layers out of the plurality of layers. Responsive to receiving a first image selection, identifying the first layer out of the plurality of layers generated the first image includes a feature of interest. Determining a feature expression variation for the feature of interest in latent space based on the ranking of a first plurality of generated sample images, wherein the first plurality of generated sample images includes the feature of interest. Responsive to receiving a second plurality of images for a plurality of base features, generating an initial design based on the feature of interest and the plurality of base features.

Abstract: A system and method for performing operating state analysis of an integrated circuit (IC) design is disclosed. The method includes simulating a switching operation from a first operating state to a second operating state for one or more cells of the IC design using a plurality of vectors corresponding to one or more user-specified constraints. The method include generating a time-based waveform for each cell of the one or more cells changing an operating state from the first operating state to the second operating state, and based on the generated time-based waveform, identifying one or more operating state changes corresponding to the operating state analysis and associated timing window and cell information. The method includes verifying the one or more operating state changes by the each cell of the one or more cells of the IC design meet the one or more user-specified constraints for generating an analysis report.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to simulate metastability for circuit design verification. An example apparatus includes an input handler to receive circuit design data indicative of a circuit design, a circuit modeler to generate a simulation model based on the circuit design data, a simulator to simulate operation of the circuit design based on the simulation model, a metastability injector to insert metastability logic into the simulation model during the simulation, and a metastability controller to control the metastability logic during the simulation.

Abstract: A hardware monitor arranged to assess performance of a hardware design for an integrated circuit to complete a task. The hardware monitor includes monitoring and counting logic configured to count a number of cycles between start and completion of the symbolic task in the hardware design; and property evaluation logic configured to evaluate one or more formal properties related to the counted number of cycles to assess the performance of the hardware design in completing the symbolic task. The hardware monitor may be used by a formal verification tool to exhaustively verify that the hardware design meets a desired performance goal and/or to exhaustively identify a performance metric (e.g. best case and/or worst case performance) with respect to completion of the task.

Abstract: Methods and systems for verifying a hardware design for a component that evaluates a main algebraic expression comprising at least two variables wherein the main algebraic expression is representable as a lossless combination of a plurality of sub-algebraic expressions, and one or more of the at least two variables can be constrained to cause an instantiation of the hardware design to evaluate each of the sub-algebraic expressions.

Abstract: The present disclosure relates to an information processing device, an information processing method, and a program for enabling more accurate prediction of a crack to be made. A model acquisition unit acquires a structure model MD from a model generation unit, an external device (not illustrated), or the like. Amplitude load energy A in an element E0 having no cracks is set on the basis of a relationship between an equivalent stress ? and an equivalent elastic strain ? experimentally obtained according to a material constituting the element E0. Since the equivalent elastic strain ? depends on a crack variable ?, the amplitude load energy A is expressed as a function of the crack variable ?. A crack prediction unit predicts a crack to be generated in a structure D by calculating a differential equation having a term proportional to the amplitude energy. The present disclosure can be applied to, for example, a crack prediction device that predicts a crack.

Abstract: A method performed by at least one processor includes the following steps. A layout of an integrated circuit (IC) is accessed, wherein the layout has at least one cell. A context group for the cell is determined based on a layout context of the cell, wherein the context group is associated with a timing table. A timing analysis is performed on the layout to determine whether the layout complies with a timing constraint rule according to the timing table. A system including one or more processors including instructions for implementing the method and a non-transitory computer readable storage medium including instructions for implementing the method are also provided.

Abstract: A static timing analysis system for finding and reporting timing violations in a digital circuit design prior to circuit fabrication, and associated methods, use exhaustive path-based analysis (EPBA) that is informed by infinite-depth path-based analysis (IPBA) to provide analysis results that are driven full-depth, in contrast to conventional EPBA systems and methods, which can terminate after reaching a maximum depth of analysis as a way of avoiding prolonged or infinite runtimes. The IPBA-driven full-depth EPBA functions for hold-mode as well as setup-mode analysis and achieves reduced pessimism as compared to systems or methods employing IPBA alone, and more complete analysis of designs as compared to systems or methods employing EPBA alone. Improved IPBA signal merging using multidimensional zones for thresholding of signal clustering mitigates the occasional optimism of IPBA.

Abstract: This document provides systems and methods for altering text presentation to increase reading accuracy, efficiency, and retention. This can include identification text specific attributes from machine readable text (through parsing of the text), varying the text presentation in accordance with the attributes, and creating an enhanced visual product for enhancing the reading experience. For example, a computer system can extract attributes such as parts of speech from an input sentence and display that sentence in cascading text segments down and across a display screen. The system can further use domain-specific dictionaries derived from domain-specific texts to identify domain-specific compound noun phrases and verb phrases that require specific linguistic tagging to be usable in other linguistic analysis steps.

Abstract: Message composition and customization in a user's handwriting style includes obtaining electronic source text from a user, the electronic source text to be sent to a recipient, ascertaining properties of the electronic source text, the properties including words used in the electronic source text and a context of the electronic source text, and the context including an emotion of the electronic source text, and building an electronic message based on the ascertained properties, the electronic message including the electronic source text presented graphically in a handwriting style of the user.

Abstract: Provided is a technique for generating a tagging model for attaching a tag in consideration of a phrase based on dependency between words. A tagging model generation apparatus includes a learning section 2 which generates, by using inputted learning data, a tagging model including probability-related information serving as information related to the probability that each tag is associated with each word-related information, and joint probability-related information serving as information related to a joint probability which serves as the probability of appearance of each tag in which appearance frequencies of a plurality of consecutive tags associated with pieces of word-related information of a plurality of consecutive words in each text are taken into consideration, and a storage section 3 which stores the generated tagging model.

Abstract: A method, computer program product, and computer system for encoding, by a computing device, a transcript and text macros into vector representations. A word by word report may be predicted based upon, at least in part, the encoding. An attention mechanism may be queried based upon, at least in part, a decoder state. An attention distribution may be produced over an encoder output. An interpolation of the encoder output may be produced based upon, at least in part, the attention distribution. The interpolation of the encoder output may be input into a decoder for report modeling that includes text macro location and content.

Abstract: A method of notifying a user of a cloud-based content management platform of a comment made in a document associated with the user includes determining a set of comments associated with documents to which the user has access via the cloud-based content management platform, the set of comments including one or more comments added by other users to each document within a last predetermined time period, selecting one or more comments from the set of comments for notification to the user, the selecting being based at least on interactions of the user with a comment thread associated with each comment from the set of comments and characteristics of the comment thread, wherein a comment thread is a group of a plurality of comments comprising a first comment and a second comment added in reply to the first comment, determining one or more documents associated with the one or more selected comments, and providing a graphical user interface (GUI) of a cloud storage of the user hosted by the cloud-based content managem

Abstract: The technology disclosed relates to accessing external data, including massive amounts of data stored in the cloud, in spreadsheet cells: accessing external data direct via a formulaic variable in a spreadsheet, specifying an ordered progression for the accessed external data, selectively propagating data accessed using the formulaic variable vertically or horizontally, within a propagation pattern responsive to normal A$1, $A1 and $A$1 spreadsheet conventions. Two or more external data fields, responsive to the formulaic variable, have an ordered sequence relationship that nests ordering of vectors of the propagated data; and the ordering according to the ordered sequence relationship is maintained during replication by copy and paste. In another disclosed method, the external data is generated using an implicit join of data from at least two external data sources to generate multiple adjoining vectors of spreadsheet cells of data responsive to selection parameters in the formulaic variable.

Abstract: The present invention relates to a system and a method for comparing information contained on at least two documents belonging to an entity. The present invention includes at least one device configured to receive information from at least one first document and at least one second document; then, compare at least one first document information and at least one second document information; and determine whether at least one second document contains at least one first document information. The present invention then outputs a result of whether the at least one second document contains at least one first document information.

Abstract: Example implementations described herein involve extracting keywords and dependency information from a text; and generating a co-occurrence dictionary for the text, the generating the co-occurrence dictionary involving selecting ones of the keywords for inclusion in the co-occurrence dictionary based on a number of times the ones of the keywords satisfy the dependency rules; determining for the selected ones of the keywords included in the co-occurrence dictionary, surrounding words to be associated with the selected ones of the keywords in the co-occurrence dictionary based on a number of instances of co-occurrence of the surrounding words with the selected ones of the keywords; and generating weights for each of the selected ones of the keywords in the co-occurrence dictionary based on a number of the surrounding words associated with the selected ones of the keywords.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for information extraction using natural language processing. One of the methods includes determining, for one or more tokens from a plurality of tokens that represent an unstructured sentence, a token type from a plurality of predetermined token types that indicates an element type for a phrase that corresponds to the token and has one or more properties using dependency data and a part-of-speech label for the token; assigning, for a token whose associated dependency data indicates that the token has a child, data for the child token to one of the one or more properties for the token type of the token; and providing, for use by a downstream semantic system and for the token, a textual representation of the phrase for the token and the phrases for one or more of the child tokens.

Abstract: A method, an electronic device and a readable storage medium for creating a label marking model are disclosed. The method for creating the label marking model includes: obtaining text data and determining a word or phrase to be marked in the text data; according to the word or phrase to be marked, constructing a first training sample of the text data corresponding to a word or phrase replacing task and a second training sample corresponding to a label marking task; training a neural network model with a plurality of the first training samples and a plurality of the second training samples, respectively, until a loss function of the word or phrase replacing task and a loss function of the label marking task satisfy a preset condition, to obtain the label marking model.

Abstract: A method and a device for generating a modified statement are provided. An embodiment thereof includes obtaining a target statement, and separating words in the target statement to obtain a word collection to be modified; determining whether a target storage portion comprises a predetermined word collection to be confirmed corresponding to a word to be modified in the word collection to be modified; in response to determine to include the predetermined word collection, based on the error probabilities and the usage probabilities of the words to be confirmed, determining modification probabilities of the words to be confirmed; according to a numerical sequence of the modification probabilities, selecting predetermined numbered words to be confirmed from the word collection to be confirmed as a word sub-collection to be confirmed; and based on the word sub-collection to be confirmed, generating the modified statement. The embodiment improves the accuracy to modify the statement.

Abstract: An information processing apparatus includes a reception unit that receives information from a user in an interactive form and a selection unit that selects a first service for analyzing contents of natural language as a transmission destination of the information in a case where information from the user is input in natural language and selects a second service as an analysis destination of the received information in a case where information from the user is input as an image or a sound.

Abstract: A search apparatus includes a memory and circuitry. The memory is configured to store second sentences in association with past-input first sentences, and store synonyms corresponding to each of a plurality of words. The circuitry is configured to divide each of the past-input first sentences into words and divide a newly-input first sentence into words; select, from the synonyms corresponding to each of the plurality of words, synonyms corresponding to each of the words obtained by dividing each of the past-input first sentences, in descending order of appearance frequency of the words; store the selected synonyms; detect, from the selected synonyms, synonyms corresponding to each of the words obtained by dividing the newly-input first sentence; and retrieve, from the memory storing the second sentences, at least one of the second sentences corresponding to the newly-input first sentence based on the detected synonyms and the words of the newly-input first sentence.

Abstract: In some embodiments, a knowledge graph generation system extracts noun-phrases from sentences of a knowledge corpora and determines the relations between the noun-phrases based on a relation classifier that is configured to predict a relation between a pair of entities without restricting the entities to a set of named entities. The knowledge graph generation system further generates a sub-graph for each of the sentences based on the noun-phrases and the determined relations. Nodes or entities of the sub-graph represent the non-phrases in the sentence and edges represent the relations between the noun-phrases connected by the respective edges. The knowledge graph generation system merges the sub-graphs to generate the knowledge graph for the knowledge corpora.

Abstract: A machine reading comprehension (MRC) question and answer providing method includes receiving a user question; analyzing the user question; selecting at least one document from at least one domain corresponding to an analyzed user question and searching for a passage, which is a candidate answer determined as being suitable for the user question, in the selected at least one document; obtaining at least one correct answer candidate value by inputting the user question and a corresponding passage into each of at least one MRC question and answer unit; and determining whether the at least one correct answer candidate value is a best answer.

Abstract: Machine learned models take in vectors representing desired behaviors and generate voice vectors that provide the parameters for text-to-speech (TTS) synthesis. Models may be trained on behavior vectors that include user profile attributes, situational attributes, or semantic attributes. Situational attributes may include age of people present, music that is playing, location, noise, and mood. Semantic attributes may include presence of proper nouns, number of modifiers, emotional charge, and domain of discourse. TTS voice parameters may apply per utterance and per word as to enable contrastive emphasis.

Abstract: In one embodiment, a method includes receiving a first user request to execute a first task comprising one or more sub-tasks from a client system associated with a user, receiving a second user request to suspend the first task from the client system, storing a dialog state for the first task in response to the second user request, wherein the dialog state comprises results of executed sub-tasks and a status indicating the first task is suspended, receiving a third user request to resume the first task, accessing the dialog state for the first task, and providing a prompt to resume the first task at the client system.

Abstract: A system performs conversations with users using chatbots customized for performing a set of tasks. The system may be a multi-tenant system that allows customization of the chatbots for each tenant. The system processes sentences that may include negation or coreferences. The system determines a confidence score for an input sentence using an intent detection model, for example, a neural network. The system modifies the sentence to generate a modified sentence, for example, by removing a negation or by replacing a pronoun with an entity. The system generates a confidence score for the modified sentence using the intent detection model. The system determines the intent of the sentence based on the confidence scores of the sentence and the modified sentence. The system performs tasks based on the determined intent and performs conversations with users based on the tasks.

Abstract: A model training service of a provider network may receive content items as training data. For example, the content items may be documents with certain portions labeled as stale. The model training service may train one or more different types of models using those content items (e.g., natural language inference model, paraphrasing detection model, named entity recognition model). The model training service may then provide the model(s) to a content staleness check (CSC) service. The CSC service may receive, from a client, a request that indicates one or more content items to be checked for staleness. The CSC service may process the content items by the model(s) to generate one or more indications of staleness of the content item. The CSC service may generate a response based on the indications of staleness. For example, the CSC service may generate a document with certain portions highlighted as stale content.

Abstract: Systems and methods are provided herein for directing sound through a parametric speaker in connection with interpreting/translating messages in an open forum such that communications may be delivered and understood without the use of headphones. The directed sound may also be directed in connection with detecting auditory areas and targeting sound at the auditory regions of a subject.

Abstract: A machine accesses a query in a first natural language. The machine identifies an event corresponding to the query. The machine computes, using a cross-lingual information retrieval module, a ranked list of documents in a second natural language that are related to the event. At least a portion of documents in the ranked list are selected from a collection of documents in the second natural language that are not annotated with events. The cross-lingual information retrieval module is trained using a dataset comprising annotated documents in the first natural language and translations of the annotated documents into the second natural language. Each annotated document is annotated with one or more events. The machine provides an output representing at least a portion of the ranked list of documents in the second natural language. The second natural language is different from the first natural language.

Abstract: An indicia-reading module is capable of integration into the smallest face of thin-profile smart device. The module employs chip-on-board packaging and a customized sensor enclosure to eliminate the stack-up height found in conventional packaging. The module also employs a customized frame to reduce volume by integrating circuit subassembly circuit boards into a unique architecture and by serving as the lenses for the illuminator and the aimer, thereby eliminating the need for any extra lenses or holders.

Abstract: Systems and methods for user choice of barcode scanning ranges are provided. This is achieved through the identification of a predetermined pixel-per-module threshold range. The pixel-per-module of a barcode being read by a reader is compared to the predetermined pixel-per-module threshold range, and a successful decode of the barcode is carried out only if the pixel-per-module of the barcode falls within the predetermined range. Thus, a user may select a desired reading distance range such that barcodes within a working distance range may not generate successful decodes if such barcodes are outside of the desired reading distance range.

Abstract: Implementations of the present disclosure provide a service processing method, device, and system associated with unified resource locator (URL)-based two-dimensional (code). In an implementation, a URL is received from a first service institution. The URL is obtained by a mobile device from scanning a 2D code provided by a service provider and sent to the first service institution. The URL is then parsed to identify one or more data elements including a service network identifier, a service institution identifier, and a payload including a service object identifier. The one or more data elements is sent to the second service institution based on the service institution identifier. Service information associated with the service object is received from the second service institution based on the service object identifier, and the service information is sent to the first service institution for presenting on the mobile device.

Abstract: The present invention relates to a scene descriptor generation system, including an image sensor including a plurality of pixels, successively supplying S binary image planes, each including a single binary value per pixel; and a processing circuit configured to, for each binary image plane supplied by the sensor (100), to implement the successive steps of: a) calculating N convolutions of the binary image plane with respectively N distinct convolution kernels, to provide N convolved images; b) generating at least one meta-image from the N convolved images supplied at step a); and c) for each of the N convolved images supplied at step a), generating a binary descriptor from said convolved image and from said at least one meta-image.

Abstract: An automatic image annotation system receives a reference image with one or more parts annotated along with one or more query images and automatically identifies portions from the query images that are similar to the annotated parts of the reference image. The S-matrices of the reference image and the query images are obtained via singular value decomposition (SVD). Lower-dimensional images are also obtained for the reference image and the query images using a pre-trained deep learning model. The S-matrices and the lower-dimensional images of the corresponding images are combined to generate vector representations. A distance metric is calculated for the vector representation of the reference image with that of the query image. A preliminary output image with a preliminary annotation is initially generated. The preliminary annotation is further optimized to generate an optimized annotation that adequately covers the region of interest (ROI).

Abstract: In many real-life applications, ample amount of examples from one class are present while examples from other classes are rare for training and learning purposes leading to class imbalance problem and misclassification. Methods and systems of the present disclosure facilitate generation of an extended synthetic rare class super dataset that is further pruned to obtain a synthetic rare class dataset by maximizing similarity and diversity in the synthetic rare class dataset while preserving morphological identity with labeled rare class training dataset. Oversampling methods used in the art result in cloning of datasets and do not provide the needed diversity. The methods of the present disclosure can be applied to classification of noisy phonocardiogram (PCG) signals among other applications.

Abstract: A machine learning model is trained. A feature importance metric is determined for each machine learning feature of a plurality of machine learning features of the machine learning model. Based on the feature importance metrics, one or more machine learning features of the plurality of machine learning features of the machine learning model are managed.

Abstract: A method is described for determining a confidence value for an object of a class determined by a neural network in an input image. The method includes: preparing an activation signature with the aid of a multiplicity of output images of a layer of the neural network for the class of the object, with the input image being provided to the input of the neural network; scaling the activation signature to the size of the input image; comparing an overlapping area portion of an area of the activation signature with an area of an object frame in relation to the area of the activation signature in order to determine the confidence value.

Abstract: In some examples, a system includes a memory configured to store a first image and a second image captured by one or more cameras mounted on one or more vehicles and store locations and orientations of the one or more cameras at times when the first and second images were captured. The system also includes processing circuitry configured to identify an existing landmark in the first and second images. The processing circuitry is also configured to determine a latitude, a longitude, and an altitude of the existing landmark based on the locations and orientations of the one or more cameras at the times when the images were captured. The processing circuitry is configured to create a file including the location of the existing landmark and pixel coordinates of the existing landmark in the first and second images.

Abstract: A computer-executable method for moderating publication of data content with a moderator tool. The data contents are labelled as acceptable or unacceptable. The moderator tool receives the training data and executes a first algorithm that identifies features that exist in the training data and extracts them and ending up with a feature space. The moderator tool executes a second algorithm in the feature space for defining a distribution of data features that differentiate between the acceptable contents and the unacceptable contents in order to create a moderation model. When the moderator tool receives a new data content to be moderated, it executes the moderator tool on the new data content for identifying the data features in the new data content to be moderated in accordance with the moderation model created, and for producing a moderation result for the new data content by indicating whether the new data content is acceptable.

Abstract: Various embodiments of the disclosure relate to an electronic device for controlling a predefined function based on a response time of an external electronic device on a user input, and a method thereof.

Abstract: Embodiments of the present disclosure relate to a method, a device and a computer-readable storage medium for data processing. The method for data processing comprises: obtaining a set of observation samples regarding a plurality of factors, one of the set of observation samples comprising respective observed values of the plurality of factors. The method further comprises: estimating, for each of the plurality of factors and based on the set of observation samples, a distribution that differences between observed values of the factor and estimated values of the factor follow. The method further comprises determining, based at least on the estimated distribution, a causal structure representing a causal relationship among the plurality of factors. Embodiments of the present disclosure further provide a device and a computer-readable storage medium for implementing the above method.

Abstract: Methods, systems, and articles of manufacture, including computer program products, are provided for synthesizing images for machine learning. The method may include selecting one or more image preprocessing transformations to apply on the foreground object image; applying the selected one or more image preprocessing transformations to the foreground object image; selecting a background image from a set of background images depicting a variety of different backgrounds which may be associated with the foreground object image; merging the selected background image with the foreground object image to form a synthesized image; selecting one or more image transformations to apply on the synthesized image; applying the selected one or more image transformations to the synthesized image; and storing the synthesized image in a collection of synthesized images to train a machine learning model.

Abstract: Systems and methods for automating image annotations are provided, such that a large-scale annotated image collection may be efficiently generated for use in machine learning applications. In some aspects, a mobile device may capture image frames, identifying items appearing in the image frames and detect objects in three-dimensional space across those image frames. Cropped images may be created as associated with each item, which may then be correlated to the detected objects. A unique identifier may then be captured that is associated with the detected object, and labels are automatically applied to the cropped images based on data associated with that unique identifier. In some contexts, images of products carried by a retailer may be captured, and item data may be associated with such images based on that retailer's item taxonomy, for later classification of other/future products.