Abstract: A point cloud matching method and apparatus, an electronic apparatus, and a storage medium are provided. The point cloud matching method includes: dividing a to-be-matched point cloud into a plurality of matched point cloud patches, and inputting the plurality of matched point cloud patches to a pre-trained point cloud feature coding module to obtain feature vectors of the plurality of matched point cloud patches; and acquiring a global description vector of the to-be-matched point cloud according to the feature vectors of the plurality of matched point cloud patches, matching the global description vector of the to-be-matched point cloud with global description vectors of point cloud frames in a preset historical database, and determining a point cloud frame in the historical database within a preset matching threshold range to be a point cloud matching result.

Abstract: An embodiment parses, by a host plugin, a host content view into a plurality of host resources. The embodiment identifies, by an attendee plugin, an attendee interaction with a host resource in the plurality of host resources. The embodiment transmits, by the attendee plugin, based on the attendee interaction, a resource request for the host resource. The embodiment transmits, by the host plugin, based on the resource request, a host resource content associated with the host resource. The embodiment executes, by the attendee plugin, based on the host resource content, a response action for presenting the host resource content.

Abstract: According to an exemplary embodiment of the present invention, a method is provided. The method includes identifying UI controls in a GUI for display on a screen of a computing device. The method further includes determining a position relationship of the UI controls. The method further includes mapping the UI controls to keyboard areas such that a position relationship of the keyboard areas corresponds with the position relationship of the UI controls. One or more keys within the individual areas are associated with the UI controls that are mapped to the respective keyboard areas.

Abstract: In one general embodiment, a computer-implemented method includes analyzing document object model code for generating locators of elements of a web page. The locators are output visibly on a user interface displaying the web page. A page object code template of the web page is generated. Mappings of the elements and/or the locators to page object variables are received from a user. Representations of the mappings are output visibly on the user interface displaying the web page. Mappings from page areas of the web page to page object functions are received from the user. Representations of the mappings from the page areas of the web page to the page object functions are output visibly on the user interface displaying the web page. Code references are rendered on the user interface displaying the web page.

Abstract: A method, computer system, and a computer program product are provided for responding to a language input query with ad hoc enriched term data. The technique comprises extracting information relating to the language input query using a Language Support Assistance Service. The extracted information includes one or more language terms requiring further support and an associated request type. This is identified from metadata relating to the language input query. Information is provided to a Term Related Corpus Data Service that includes one or more language terms requiring further support and the identified request type and any identified sources. The Term Related Corpus Data Service returns one or more ad hoc enriched terms that are tailored to the one or more language terms requiring further support and is according to the associated request type. The Language Support Assistance Service provides a response to the language input query.

Abstract: Embodiments of the present disclosure relate to a method, system, and computer program product for translation of rich text. In some embodiments, a method is disclosed. According to the method, one or more candidate formats are determined for source rich text. A target format for the source rich text is selected from the one or more candidate formats based on one or more corresponding images obtained from rendering the source rich text in the one or more candidate formats. Based on the target format, a translation editing environment is provided for editing a translation of the source rich text. In other embodiments, a system and a computer program product are disclosed.

Abstract: A method, computer system, and a computer program product for task assistance is provided. The present invention may include acquiring a request expression input by a user. The present invention may include identifying a request intent associated with a task based on the request expression. The present invention may include determining a response script corresponding to the request intent. The present invention may include executing the response script to complete the task and presenting the process of running the task in a user-interface (UI).

Abstract: A meander embedding sector traveling-wave antenna for series superconducting detectors is provided, including: a detector array, a meander metal layer, a pair of bend-line metal layers, and a pair of sector metal layers. The detector array is individually connected in the meander metal layer and the pair of bend-line metal layers; the pair of bend-line metal layers is correspondingly connected to the pair of sector metal layers; and the pair of sector metal layers is disposed symmetrically centered on the detector array. The antenna improves working bandwidth of THz antenna and completes low-impedance matching between a single antenna and each series Josephson junction embedded in the antenna. The embedding meander can be connected to a plurality of low-impedance detectors, and performance of the antenna is not influenced while target impedance matching is completed. And the working bandwidth of the THz antenna embedded with the series detectors is increased.

Abstract: Techniques are described with respect to a system, method, and computer product for visualizing viewpoints. An associated method includes receiving access to a multi-party discussion occurring via a telecommunication system and analyzing the multi-party discussion using natural language processing. The method further includes extracting a plurality of viewpoints of the multi-party discussion based on the analysis, synthesizing a subset of the plurality of viewpoints based on the content of each viewpoint of the plurality of viewpoints, and transmitting a rendered synthesized visualization of the subset.

Abstract: Translating applications to a target language includes extracting program integrated information (PII) to be translated and creating translation context datasets based on interpretation of accessibility information associated with particular strings of PII. Translation pairs include PII and corresponding context datasets for context-based translation of application components. A two-stage index contains PII strings for first stage lookup and context datasets for distinguishing duplicate PII strings as a second stage lookup. Real-time translation is facilitated by the two-stage index, which is established by translation pairs and resulting translations.

Abstract: A method for identifying hard-coded strings in source code is disclosed. In one embodiment, such a method parses source code and associated localization resource files to identify hard-coded strings and their associated context. The method provides a confidence score for each hard-coded string that indicates whether the hard-coded string is translatable or non-translatable. Based on the confidence score for each hard-coded string, the method transforms each hard-coded string into a single equivalence word. The method then prepares training data by tagging the hard-coded strings in the source code and associated localization resource files as one of translatable and non-translatable. The method then trains a parts-of-speech (POS) tagging model using the training data. At runtime, the method fetches potential hard-coded strings and tags each hard-coded string as one of translatable and non-translatable using the POS tagging model. A corresponding system and computer program product are also disclosed.

Abstract: According to an exemplary embodiment of the present invention, a method is provided. The method includes identifying UI controls in a GUI for display on a screen of a computing device. The method further includes determining a position relationship of the UI controls. The method further includes mapping the UI controls to keyboard areas such that a position relationship of the keyboard areas corresponds with the position relationship of the UI controls. One or more keys within the individual areas are associated with the UI controls that are mapped to the respective keyboard areas.

Abstract: A computer-implemented method, a computer system and a computer program product generate user interface (UI) help content. The method includes generating a descriptor file for a UI based on at least one of a design prototype and front-end code of the UI. The descriptor file describes a group of attributes related to help content for at least one UI element of the UI and includes attribute-value pairs for the at least one UI element of the UI. The method also includes transforming the descriptor file into a help content document for the UI using a trained natural language generation (NLG) model.

Abstract: A method for determining a transformer state on the basis of correction of dissolved gas data includes receiving, by a transformer state determination apparatus, dissolved gas data, determining, by the transformer state determination apparatus, a measurement error value which is a correction target in the dissolved gas data, correcting, by the transformer state determination apparatus, the measurement error value, and determining, by the transformer state determination apparatus, a transformer state on the basis of the dissolved gas data including the corrected measurement error value.

Abstract: A method of generating an accurate speaker representation for an audio sample includes receiving a first audio sample from a first speaker and a second audio sample from a second speaker. The method includes dividing a respective audio sample into a plurality of audio slices. The method also includes, based on the plurality of slices, generating a set of candidate acoustic embeddings where each candidate acoustic embedding includes a vector representation of acoustic features. The method further includes removing a subset of the candidate acoustic embeddings from the set of candidate acoustic embeddings. The method additionally includes generating an aggregate acoustic embedding from the remaining candidate acoustic embeddings in the set of candidate acoustic embeddings after removing the subset of the candidate acoustic embeddings.

Abstract: A method, system and computer program product for container image migration service is provided. The method comprises identifying a latest version of a first customer container image stored in a container image repository. The method further comprises determining the latest version of the first customer container image is a migration image from a last version of the first customer container image; determining a set of commands in the Docker file of the last version of the first customer container image that have migrated to a corresponding set of commands in the Docker file of the migration image; identifying a latest version of a second customer container image having at least one Docker file command in common with at least one command in the set of commands; and recommending imminent migration of the second customer container image to include migration of the at least one Docker file command.

Abstract: Disclosed are techniques for automated locating of user interface elements during graphical user interface testing. When a graphical user interface (GUI) is received for testing, images of the GUI are inputted to a machine learning algorithm, where image processing techniques are applied to identify groups of user interface elements and their constituent elements. Multi-dimensional index values are assigned to groups and elements corresponding to their positions within the GUI. Automated testing of the user interface elements of the GUI is performed by locating the user interface elements by their index values. If an element is not found, a scrolling technique is applied to generate an expanded virtual GUI of one or more groups of user interface elements, and the machine learning algorithm refreshes the index values using the expanded virtual GUI.

Abstract: A balanced-type strip-shaped dielectric substrate integrated filter includes: a high-k dielectric substrate; and first low-k dielectric substrates, second low-k dielectric substrates and metal grounds are symmetrically stacked on upper and lower surfaces of the high-k dielectric substrate.

Abstract: A method of generating an accurate speaker representation for an audio sample includes receiving a first audio sample from a first speaker and a second audio sample from a second speaker. The method includes dividing a respective audio sample into a plurality of audio slices. The method also includes, based on the plurality of slices, generating a set of candidate acoustic embeddings where each candidate acoustic embedding includes a vector representation of acoustic features. The method further includes removing a subset of the candidate acoustic embeddings from the set of candidate acoustic embeddings. The method additionally includes generating an aggregate acoustic embedding from the remaining candidate acoustic embeddings in the set of candidate acoustic embeddings after removing the subset of the candidate acoustic embeddings.

Abstract: A method, system and computer program product for container image migration service is provided. The method comprises identifying a latest version of a first customer container image stored in a container image repository. The method further comprises determining the latest version of the first customer container image is a migration image from a last version of the first customer container image; determining a set of commands in the Docker file of the last version of the first customer container image that have migrated to a corresponding set of commands in the Docker file of the migration image; identifying a latest version of a second customer container image having at least one Docker file command in common with at least one command in the set of commands; and recommending imminent migration of the second customer container image to include migration of the at least one Docker file command.