Abstract: Provided is a traffic pattern adaptive modem (modulator-demodulator) gear control method for an electronic device. The traffic pattern adaptive modem (modulator-demodulator) gear control method includes: when a first criteria is met, on-line collecting a period of input data; executing traffic prediction; whether a second criteria is met to apply the traffic prediction is determined; when the second criteria is met, based on the traffic prediction, a modem gear is adaptively adjusted; and when the second criteria is not met, an algorithm is trained or a period is waited for continuing monitoring whether the second criteria is still met.

Abstract: According to one embodiment, a method, computer system, and computer program product for predicting the movement intentions of ships is provided. The present invention may include obtaining binocular camera visual data of a body of water; identifying physical objects in the body of water; generating feature point clouds of the physical objects in the body of water; performing instance segmentation on the generated feature point clouds; analyzing the generated feature point clouds; predicting the movement intentions of identified ships in the body of water based on the analyzed feature point clouds; and displaying the predicted movement intentions of the identified ships in the body of water on an augmented reality device.

Abstract: Exemplary embodiments may programmatically determine the number and locations of breakpoints and table values in a lookup table so as to reduce their counts. In some exemplary embodiments, the minimum number of breakpoints and breakpoint locations that conform with the error tolerance may be determined along with table values for those breakpoints. The exemplary embodiments may determine if a lookup table that conforms with the error tolerance is feasible and may inform a user of the feasibility or infeasibility of generating the lookup table. Where it is feasible to generate the lookup table, the exemplary embodiments may provide automatic programmatic generation of a lookup table with minimal breakpoints and optimal or near-optimal table values.

Abstract: Provided in the present invention is a multi-element co-doped sodium-ion positive electrode material, which is characterized in that the phase of the positive electrode material is an O3 phase, the space group thereof is R-3m, and the chemical formula thereof is Na?MaLibCucTidO2+?, wherein M is at least one of Ni, Co, Mn, Cr, V, Al, Fe, B, Si, Mg and Zn, 0.5???1, ?0.1???0.1, 0<a<0.95, 0<b<0.25, 0<c<0.3, 0<d<0.6, a+b+c+d=1, and the charge neutrality condition is met. Also provided in the present invention is a preparation method for and the use of the multi-element co-doped sodium-ion positive electrode material.

Abstract: There is provided a method and an apparatus performing the method. The method including displaying, on an interface of the first electronic device, identification information of at least one candidate electronic device, determining at least one second electronic device based on an operation of performed by the user of the identification information of the at least one candidate electronic device, acquiring audio recording data captured by the at least one second electronic device, and generating target audio data based on the acquired audio recording data, and providing the target audio data to a target application.

Abstract: A method making a SRAM includes forming a low voltage region, a medium voltage region, and a high voltage region in an active region; forming a low voltage PMOS active region and a low voltage NMOS active region in the low voltage region; forming an STI region between the low voltage PMOS active region and the low voltage NMOS active region; covering the SRAM structure with an oxide layer and an HTO film layer; forming a hard mask on the HTO film layer; performing photolithography to expose the hard mask on the active low voltage region; removing the exposed hard mask from the active low voltage region and removing the HTO film layer and the oxide layer below the hard mask.

Abstract: The present disclosure provides a vertical memory structure including a semiconductor stack, a contact plug, gate electrodes and air gap structures. The semiconductor stack includes a lower semiconductor pattern structure filling a recess on a substrate and protruding from an upper surface of the substrate in a first direction substantially perpendicular to the upper surface of the substrate. The contact plug is disposed over the lower semiconductor pattern structure. The contact plug includes a lower portion and a middle portion over the lower portion. A width of the middle portion is less than a width of the lower portion. The gate electrodes are surrounding a sidewall of the semiconductor stack. The air gap structures are disposed at outer sides of the plurality of gate electrode respectively.

Abstract: Hot word free adaptation, of function(s) of an automated assistant, responsive to determining, based on gaze measure(s) and/or active speech measure(s), that a user is engaging with the automated assistant. Implementations relate to techniques for mitigating false positive occurrences of and/or false negative occurrences, of hot word free adaptation, through utilization of a permissive parameter set in some situation(s) and a restrictive parameter set in other situation(s). For example, utilizing the restrictive parameter set when it is determined that a user is engaged in conversation with additional user(s). The permissive parameter set includes permissive parameter(s) that are more permissive than counterpart(s) in the restrictive parameter set.

Abstract: This invention provides primers and primer combinations that function efficiently in LAMP-based and/or other amplification systems and are useful for the diagnosis and subsequent treatment of acute infectious disease.

Abstract: Embodiments are directed to a container storage system in remote pods. A worker node virtual machine determines that a volume is available for attachment to the worker node virtual machine. An intermediary software of the worker node virtual machine causes a pod container storage interface to attach the volume to a pod virtual machine. in response to attaching the volume to the pod virtual machine, the intermediary software of the worker node virtual machine causes the pod container storage interface to mount the volume to the pod virtual machine such that the volume is available for use by the pod virtual machine.

Abstract: A method for preparing the memory are provided. The method includes forming a trench at a front side of a semiconductor substrate, wherein the trench defines laterally separate active areas formed of surface regions of the semiconductor substrate; filling an isolation structure in the trench, wherein the isolation structure is filled to a height lower than top surfaces of the active areas; recessing a first group of the active areas from top surfaces of the first group of the active areas, while having top surfaces of a second group of the active areas covered; and forming contact enhancement sidewall spacers to laterally surround top portions of the active areas, respectively.

Abstract: Distributed rendering of digital objects in augmented reality environments includes a method, system, and computer program product that are configured to: receive a first space matrix from a first augmented reality (AR) device; receive a second space matrix from a second AR device; perform distributed rendering of a digital object for the first AR device and the second AR device in response to receiving the first space matrix and the second space matrix; transmit first image data to the first AR device, the first image data defining the first version of the first part of the digital object and the second part of the digital object; and transmit second image data to the second AR device, the second image data defining the second version of the first part of the digital object and the second part of the digital object.

Abstract: A method, computer program product, and computer system are provided for predicting treatment options based on cardiac auscultation data. Text data and audio data corresponding to cardiac auscultation associated with a patient is received. The text data and the audio data are encoded as respective text vectors and audio vectors. A distance between the text vectors and the audio vectors is calculated. Diagnosis results are determined by a machine learning model based on the calculated distance between the text vectors and the audio vectors.

Abstract: Embodiments of the present disclosure provide systems and methods for transforming a text file with an existing syntax format to a syntax tree structure with a syntax convention extension based on defined field types and field characteristics. Embodiments of the present disclosure transform existing syntax knowledge to an extended convention syntax knowledge, creating the syntax tree structure with the syntax convention extension, to provide automated support for different applications and programs, and enabling programmatic querying, override and other use functions.

Abstract: An example Mach-Zehnder interferometer (MZI) is provided. The MZI includes a first waveguide arm and a second waveguide arm coupled to the first waveguide arm via a pair of optical couplers. In the proposed MZI, at least one of the first waveguide arm and the second waveguide arm includes a plurality of Bragg-grating segments and a phase-shifter segment formed between adjacent Bragg-grating segments of the plurality of Bragg-grating segments. The phase-shifter segment formed between adjacent Bragg-grating segments induces a predefined phase-shift in an optical signal propagating through respective at least one of the first waveguide arm and the second waveguide arm, resulting in increased linearity an optical transmission via the MZI.

Abstract: A sound receiving device and a control method of the sound receiving device are described. The sound receiving device includes a microphone apparatus, an object detection apparatus, and a processor. The microphone apparatus provides an audio signal. The object detection apparatus detects position information of at least one object. The processor is coupled to the microphone apparatus and the object detection apparatus. The processor determines position information of a sound source according to the audio signal and the position information of the at least one object, and adjusts each microphone gain in the microphone apparatus to receive sound from the sound source.

Abstract: The present disclosure provides video conference system and conference frame display method. The conference frame display method includes: detecting a direction of at least one voice signal according to at least one audio signal; performing an image recognition on at least one of a plurality of image areas in a rectangle image according to the direction of the at least one voice signal; and in a condition that at least one object of interest is recognized from the at least one of the plurality of image areas, by a display device, displaying an emphasized frame visually highlighting the at least one object of interest.

Abstract: In an aspect for generating a 2-dimensional (2D) building mapping, a computer-implemented method may include one or more processors configured for receiving scanning data in a first file format corresponding to 3-dimensional (3D) aerial Light Detection and Ranging (LiDaR) images. Further, the method may include transforming the first file format to a second file format and transmitting the scanning data to a building semantic segmentation component. Further, the computer-implemented method may include generating semantic segmentation data corresponding to building structures defined by point clusters; generating instance segmentation data corresponding to top surfaces of the building structures; generating building boundary data for each one of the point clusters based on one or more of the semantic segmentation data and the instance segmentation data; and processing the building boundary data to generate a 2D building mapping comprising refined boundary lines for each of the point clusters.

Abstract: A conveyor belt lifting mechanism which includes an L-shaped arm, a telescopic arm, and a supporting shaft and an online operation and maintenance robot for a pipe belt conveyor are provided. One end of the L-shaped arm is rotatable, an axial direction of a rotating shaft is parallel to a conveying direction of a conveyor belt, the telescopic arm is slidably connected to the other end of the L-shaped arm, and the telescopic arm extends and retracts in an extension direction of the L-shaped arm. A universal rotary driving portion is connected to an end of the telescopic arm, the supporting shaft is fixed to an output end of the universal rotary driving portion, and two supporting rollers are arranged on the supporting shaft. An included angle between rotating shafts of the two supporting rollers is the same as that between two adjacent idlers in the pipe belt conveyor.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating a modified analytics prediction machine learning model using an iterative transfer learning approach. For example, the disclosed systems generate an initial version of an analytics prediction machine learning model for predicting an analytics metric according to learned parameters. In some embodiments, the disclosed systems determine expected data channel contributions for the analytics metric according to prior data. Additionally, in some cases, the disclosed systems generate a modified analytics prediction machine learning model by iteratively updating model parameters such that predicted data channel contributions are within a threshold similarity of expected data channel contributions.