Abstract: The disclosure herein describes using a transcript generation model for generating a transcript from a multi-speaker audio stream. Audio data including overlapping speech of a plurality of speakers is obtained and a set of frame embeddings are generated from audio data frames of the obtained audio data using an audio data encoder. A set of words and channel change (CC) symbols are generated from the set of frame embeddings using a transcript generation model. The CC symbols are included between pairs of adjacent words that are spoken by different people at the same time. The set of words and CC symbols are transformed into a plurality of transcript lines, wherein words of the set of words are sorted into transcript lines based on the CC symbols, and a multi-speaker transcript is generated based on the plurality of transcript lines. The inclusion of CC symbols by the model enables efficient, accurate multi-speaker transcription.

Abstract: A Data Producer may be configured to negotiate and initiate a Data Continuity service with an M2M/IoT system. This service may be for specific data sets or all data sets generated by the Data Producer. The M2M/IoT system may be configured to autonomously decide to start a Data Continuity Service for a data set of a Data Producer. The Data Producer may interact directly with an Aggregator SL to store its aggregated data set, and may also be configured to update and delete entries in this data set and start a data service on this aggregated data set. A Local SL may be configured to manage all interactions with an Aggregator SL, and the Local SL may be configured to retarget requests from the Data Producer to the Aggregator SL, including a request to start a data service on the aggregated data set.

Abstract: An IoT/M2M service layer may be provided with the capability to protect user privacy. This functionality may allow the IoT/M2M service layer to anonymize user data, particularly when user data is shared with third party consumers. A privacy policy service may enable the IoT service layer system to generate anonymization (e.g., privacy) policies based on inputs such as legal obligations, subscriber privacy preferences, and an authorization level of the data consumer. Data anonymization policies may be output from the privacy policy service and may be sent to a data anonymization service, where raw data may be anonymized based on the one or more data anonymization policies. The output from the data anonymization service function may be a privatized (e.g., anonymized) version of data that may prevent the data consumer from discovering one or more identifying characteristics of a user.

Abstract: The present disclosure relates to a vertical MOSFET device, a manufacturing method and application thereof.

Abstract: A camera lens smoothing method includes: obtaining a current video frame of a camera video and gyroscope information of the current video frame, and calculating a current first rotation matrix; conducting smoothing on the first rotation matrix, and calculating a third rotation matrix; conducting viewpoint decomposition on the current video frame according to the third rotation matrix, and calculating a fourth rotation matrix; and conducting 3D rotation on the current video frame according to the fourth rotation matrix, and rebuilding an anti-shake video.

Abstract: Profile based services and content can assist with the backward and forward compatibility of conventional service layers or the like. Using a profile to manage content and access to services offered may reduce the overhead or processing associated with providing those value added services by service layers.

Abstract: Disclosed are devices, systems, apparatus, methods, products, and other implementations, including a method comprising obtaining, by a device, a combined sound signal for signals combined from multiple sound sources in an area in which a person is located, and applying, by the device, speech-separation processing (e.g., deep attractor network (DAN) processing, online DAN processing, LSTM-TasNet processing, Conv-TasNet processing), to the combined sound signal from the multiple sound sources to derive a plurality of separated signals that each contains signals corresponding to different groups of the multiple sound sources. The method further includes obtaining, by the device, neural signals for the person, the neural signals being indicative of one or more of the multiple sound sources the person is attentive to, and selecting one of the plurality of separated signals based on the obtained neural signals. The selected signal may then be processed (amplified, attenuated).

Abstract: Existing approaches to security within network, for instance oneM2M networks, are limited. For example, content might only be protected while the content is in transit between entities that trust each other. Here, the integrity and the confidentiality of content in an M2M network are protected. Such content may be “at rest,” such that the content is stored at a hosting node. Only authorized entities may store and retrieve the data that is stored at the hosting node, and the data may be protected from a confidentiality perspective and an integrity perspective.

Abstract: Radio networks such as Public Land Mobile Networks (PLMNs), user equipment devices (UEs), servers such as Internet-of-Things servers, and core network entities may be adapted to facilitate transfers of connections of wireless devices. For example, a first PLMN may provide restricted access to a UE to assist the UE in finding a second PLMN for a full connection. Entities may be adapted to support for non-coverage related PLMN transfers, such as transfers initiated by UEs, PLMNs, servers, and core network entities, e.g., in response to changing usage, congestion, etc.

Abstract: A machine learning model that uses composite metrology data determines at least one parameter of a device under test using measured metrology data from the device. The composite metrology data is generated by merging measured metrology data from a reference device with synthetic metrology data calculated from a model of the reference device. The composite metrology data may be generated further based on a synthetic metrology data calculated from a model for a modified reference device. The modified reference device may be generated using variations of at least one parameter of the model to expand the parameter space of the training range.

Abstract: In certain aspects, a memory device includes a non-volatile memory storing firmware, a control logic coupled to the non-volatile memory, and an array of memory cells coupled to the control logic, the array of memory cells is embedded with instructions that are executable by the control logic. The control logic is configured to perform a power-on reset (POR) initialization operation to control an initialization of the memory device based on the firmware, repair the firmware based on execution of the instructions embedded on the array of memory cells, and perform a remaining POR initialization operation based on the repaired firmware.

Abstract: The disclosure relates to a pre-5th-Generation (5G) or 5G communication system to be provided for supporting higher data rates Beyond 4th-generation (4G) communication system, such as long term evolution (LTE). A radiating element of an antenna is provided. The radiating element includes a vibrator radiating circuit board, wherein vibrator radiating arms arranged in pairs are printed on the vibrator radiating circuit board, a width of the vibrator radiating arms is less than one-half of a wavelength, a vibrator balun circuit board, configured to support the vibrator radiating circuit board, wherein a vibrator balun is printed on the vibrator balun circuit board, a height of the vibrator balun is at least less than one-fifth of the wavelength, the vibrator balun comprises at least one first slot.

Abstract: Methods, systems, and apparatuses that enable a Service Layer (SL) to support analysis of internet of things (IoT) data and enable shared access to information generated by the analysis. An analytics management service may allow SL entities to configure analytics functions for many different IoT sources of data and organize the results in a customizable manner. The SL may support coordinating the analysis of IoT data from multiple independent sources and organizing the results of the analysis.

Abstract: A Dynamic Random Access Memory (DRAM) capacitor and a preparation method therefor are provided. The DRAM capacitor includes a dielectric layer, and the dielectric layer includes a high dielectric material layer, and low dielectric loss material layers provided on both side surfaces of the high dielectric material layer.

Abstract: Methods, system, and apparatuses may support end-to-end (E2E) quality of service (QoS) through the use of service layer (SL) sessions. For example, an application can communicate with a targeted device based on application specified schedule, latency, jitter, error rate, throughput, level of security, and cost requirements.

Abstract: Lightweight, dynamic mechanisms are provided to support service layer interworking and resource extensibility. For example, one mechanism disclosed herein comprises defining a new service layer (SL) resource definition registration procedure that allows for specifying custom attributes of service layer resources to represent third party technology resources. A second mechanism disclosed herein comprises defining a new SL data model mapping registration procedure to map service layer resources to third party data models and to provide a new interworked retargeting indicator to the service layer. Further, a third mechanism disclosed herein comprises defining a SL generic interworking procedure to intelligently retarget requests toward interworked resources based on the interworked retargeting indicator provided by the data model mapping.

Abstract: A left atrial appendage occluder (200) comprises a sealing part (220), a fixing part (210) disposed at one side of the sealing part (220), and a connection part (230) for connecting the sealing part (220) and the fixing part (210). The radial deformation capacity of the sealing part (220) is greater than the radial deformation capacity of the fixing part (210), and/or, the axial deformation capacity of the sealing part (220) is greater than the axial deformation capacity of the fixing part (210). In the left atrial appendage occluder (200), the radial or axial deformation capacity of the sealing part (220) is configured to be greater than the radial or axial deformation capacity of the fixing part (210), thereby avoiding the situation in which the sealing part (220) is not optimally fitted with the opening of the left atrial appendage (10) when the fixing part (210) is placed inside of the left atrial appendage (10), which in turn enhances the occlusion effect.

Abstract: Systems and methods are provided for generating and operating a speech enhancement model optimized for generating noise-suppressed speech outputs for improved human listening and live captioning. A computing system obtains a speech enhancement model trained on a first training dataset to generate noise-suppressed speech outputs and an automatic speech recognition model trained on a second training dataset to generate transcription labels for spoken language utterances. A third training dataset comprising a set of spoken language utterances is applied to the speech enhancement model to obtain a first noise-suppressed speech output which is applied to the automatic speech recognition model to generate a noise-suppressed transcription output for the set of spoken language utterances.

Abstract: Some embodiments include a method of forming an integrated assembly. Semiconductor material is patterned into a configuration which includes a set of first upwardly-projecting structures spaced from one another by first gaps, and a second upwardly-projecting structure spaced from the set by a second gap. The second gap is larger than the first gaps. Conductive material is formed along the first and second upwardly-projecting structures and within the first and second gaps. First and second segments of protective material are formed over regions of the conductive material within the second gap, and then an etch is utilized to pattern the conductive material into first conductive structures within the first gaps and into second conductive structures within the second gap. Some embodiments include integrated assemblies.

Abstract: The present disclosure discloses a nanoparticle having a ligand with a changeable polarity, a nanoparticle layer patterning method and related application. When the nanoparticle disclosed by the present disclosure is adopted to form a patterned nanoparticle layer on a substrate, a photosensitive material is added in the nanoparticle, then a protective group in a first ligand is dissociated to form an amino under the irradiation of light with a preset wavelength, a second ligand including an amino is formed on a surface of a nanometer particle, and a polarity of the second ligand is different from a polarity of the first ligand; and the amino of the second ligand is cross-linked with an adjacent nanoparticle.