Abstract: Methods for improving a toughness and a strength of a stainless steel material are described herein. For example, a high strength stainless steel material can comprise at least 11 wt. % Cr, between 0.01 wt. % and 1.0 wt. % Ni, more 0 wt. % Mo, more than 0 wt. % W, more than 0 wt. % Ti, more than 0 wt. % Nb, and more than 0 wt. % V. In some examples, the high strength stainless steel material can be heat treated with at least one quench treatment and at least one tempering heat treatment. In some examples, the high strength stainless steel material can comprise between 0.01 wt. % and 0.5 wt. % Ni, no more than 0.25 wt. % Mo, no more than 0.1 wt. % W, no more than 0.1 wt. % Ti, no more than 0.1 wt. % Nb, and no more than 0.1 wt. % V.

Abstract: A mechanism for automatically generating and ranking M-mode lines for generating or defining M-mode data usable to assess fetal heart activity, e.g. determine a fetal heart rate. A region of interest, containing a fetal heart, in a sequence of ultrasound images is identified. The region of interest is used to define the position of each of a plurality of M-mode lines, e.g. anatomical M-mode lines. A quality measure of each M-mode line is determined based on M-mode data generated for each M-mode line, and the quality measures are then used to rank the M-mode lines.

Abstract: The disclosure relates to a method, as well as a related wind turbine and computer program product, for use with a wind turbine comprising a wind turbine controller. The method comprises determining the wind turbine to be in a first operational state, and operating a control system of the wind turbine using the wind turbine controller. The method further comprises determining the wind turbine to be in a second operational state, and operating the control system using an auxiliary controller. Operating the control system using the auxiliary controller comprises receiving a first control signal for the control system from the wind turbine controller, transmitting a feedback signal to the wind turbine controller in accordance with the first control signal, and transmitting a second control signal to the control system as a substitute for the first control signal.

Abstract: The invention relates to a computer-implemented method for automatically detecting anatomical structures (3) in a medical image (1) of a subject, the method comprising applying an object detector function (4) to the medical image, wherein the object detector function performs the steps of: (A) applying a first neural network (40) to the medical image, wherein the first neural network is trained to detect a first plurality of classes of larger-sized anatomical structures (3a), thereby generating as output the coordinates of at least one first bounding box (51) and the confidence score of it containing a larger-sized anatomical structure; (B) cropping (42) the medical image to the first bounding box, thereby generating a cropped image (11) containing the image content within the first bounding box (51); and (C) applying a second neural network (44) to the cropped medical image, wherein the second neural network is trained to detect at least one second class of smaller-sized anatomical structures (3b), thereby g

Abstract: A computer-implemented method for visualization of an elongated anatomical structure (20), for example of a fetal spine using ultrasound is provided.

Abstract: In some embodiments, the present specification describes methods for displaying a three-dimensional image of an isolated threat object or region of interest with a single touch or click and providing spatial and contextual information relative to the object, while also executing a view dependent virtual cut-away or rendering occluding portions of the reconstructed image data as transparent. In some embodiments, the method includes allowing operators to associate audio comments with a scan image of an object. In some embodiments, the method also includes highlighting a plurality of voxels, which are indicative of at least one potential threat item, in a mask having a plurality of variable color intensities, where the intensities may be varied based on the potential threat items.

Abstract: A mechanism for defining a set of preset parameter values for an ultrasound imaging system. Information about local machine-learning models, generated by a plurality of ultrasound imaging systems and updated responsive to operator feedback, is provided to an external server. The external server generates a global machine-learning model based on this information, which is then used to update the local machine-learning model on target ultrasound imaging systems.

Abstract: Aspects of the present invention relate to a method for controlling one or more wind turbine generators. The method comprises: receiving a trigger signal, and implementing an active power boost mode during a predetermined time period in response to receiving the trigger signal. The active power boost mode comprises: disregarding further trigger signals; and generating one or more upper active power limits for each of the one or more wind turbine generators, wherein, during at least a first portion of the predetermined time period, the one or more upper active power limits are fixed at an active power boost level that is greater than a nominal active power level of the one or more wind turbine generators.

Abstract: In some embodiments, the present specification describes methods for displaying a three-dimensional image of an isolated threat object or region of interest with a single touch or click and providing spatial and contextual information relative to the object, while also executing a view dependent virtual cut-away or rendering occluding portions of the reconstructed image data as transparent. In some embodiments, the method includes allowing operators to associate audio comments with a scan image of an object. In some embodiments, the method also includes highlighting a plurality of voxels, which are indicative of at least one potential threat item, in a mask having a plurality of variable color intensities, where the intensities may be varied based on the potential threat items.

Abstract: A method and an electronic device (100) are disclosed for generating semantic representation of a document to determine data security risk associated with the document. The method includes receiving, by a document semantics controller (160) of the electronic device (100), a document in an electronic form and determining, by the document semantics controller (160), raw text. Further, the method includes generating, by the document semantics controller (160), a plurality of sentence blocks using the raw text and determining, by the document semantics controller (160), embeddings for the plurality of sentence blocks. Further, the method includes determining, by the document semantics controller (160), the semantic representation of the document based on the embeddings for each of the sentence blocks; and generating, by the document semantics controller (160), the semantic representation of the document to determine the data security risk associated with the document.

Abstract: An apparatus for monitoring a heartbeat of a fetus comprises a memory comprising instruction data representing a set of instructions, and a processor configured to communicate with the memory and to execute the set of instructions. The set of instructions, when executed by the processor, cause the processor to: i) obtain ultrasound image data from an ultrasound transducer, ii) determine a location of the heart of the fetus in the ultrasound image data, iii) send a message to the ultrasound transducer to instruct the ultrasound transducer to switch to a Doppler mode, wherein the determined location of the heart of the fetus is used to set the target location of the Doppler mode, and iv) monitor the heartbeat of the fetus using ultrasound data obtained in the Doppler mode.

Abstract: There is proposed a mechanism for determining whether or not an imaging probe, such as an ultrasound imaging probe, is at a desired orientation and/or position with respect to an anatomical structure. Image data of the imaging probe is processed to generate a 3D landmark model that contains anatomical landmarks of the anatomical structure. The 3D landmark model is then processed to determine whether or not the imaging probe is at the desired orientation and/or position.

Abstract: An embodiment for creating an avatar of an online viewer during a live video broadcast is provided. The embodiment may include receiving a number of in-person viewers at an event. The embodiment may also include identifying a number of online viewers watching the event remotely. The embodiment may further include in response to determining the number of in-person viewers at the event is below a threshold, identifying a location of the in-person viewers at the event. The embodiment may also include analyzing reactions of the online viewers to scenarios of the event. The embodiment may further include creating an avatar for each of the online viewers. The embodiment may also include populating each empty seat at the event with the created avatar for each online viewer. The embodiment may further include displaying the created avatars occupying the empty seats to the online viewers.

Abstract: There is provided a method (40) of correcting blade pitch in a wind turbine (10) having a tower (12) and a plurality of rotor blades (18). The method (40) comprises: receiving (410) sensor output data from one or more wind turbine sensors (141), the sensor output data including data indicative of excitation of the tower (12) for a plurality of different pitch angles of a particular one of the blades (18); determining (420) a corrected pitch reference of the particular blade (18), the corrected pitch reference corresponding to a minimum tower excitation based on the received sensor output data; and, sending (430) the corrected pitch reference to a pitch actuator system (24) of the particular blade (18).

Abstract: Aspects of the present invention relate to a method for controlling one or more wind turbine generators. The method comprises: receiving a trigger signal, and implementing an active power boost mode during a predetermined time period in response to receiving the trigger signal. The active power boost mode comprises: disregarding further trigger signals; and generating one or more upper active power limits for each of the one or more wind turbine generators, wherein, during at least a first portion of the predetermined time period, the one or more upper active power limits are fixed at an active power boost level that is greater than a nominal active power level of the one or more wind turbine generators.

Abstract: There is proposed a mechanism for generating and displaying a 3D representation of an anatomical structure of an individual. Image data of the anatomical structure is obtained and processed to obtain 2D images or image sequences corresponding to predetermined views of the anatomical structure. Anatomical landmarks are identified in the 2D images or image sequences and used to determine a 3D landmark model of the anatomical 5structure. The 3D landmark model is used to render and display a 3D representation of the anatomical structure.

Abstract: In some embodiments, the present specification describes methods for displaying a three-dimensional image of an isolated threat object or region of interest with a single touch or click and providing spatial and contextual information relative to the object, while also executing a view dependent virtual cut-away or rendering occluding portions of the reconstructed image data as transparent. In some embodiments, the method includes allowing operators to associate audio comments with a scan image of an object. In some embodiments, the method also includes highlighting a plurality of voxels, which are indicative of at least one potential threat item, in a mask having a plurality of variable color intensities, where the intensities may be varied based on the potential threat items.

Abstract: A method and an electronic device (100) are disclosed for generating semantic representation of a document to determine data security risk associated with the document. The method includes receiving, by a document semantics controller (160) of the electronic device (100), a document in an electronic form and determining, by the document semantics controller (160), raw text. Further, the method includes generating, by the document semantics controller (160), a plurality of sentence blocks using the raw text and determining, by the document semantics controller (160), embeddings for the plurality of sentence blocks. Further, the method includes determining, by the document semantics controller (160), the semantic representation of the document based on the embeddings for each of the sentence blocks; and generating, by the document semantics controller (160), the semantic representation of the document to determine the data security risk associated with the document.

Abstract: Unoccluded visualization of Anatomy in Volumetric Data. Embodiments disclosed herein relate to medical imaging systems, and more particularly to medical visualization systems, which can be used for visualizing anatomy. Embodiments herein disclose methods and systems for enabling unoccluded visualization of anatomy of interest in volumetric data. Embodiments herein disclose 3D visualization techniques for visualization of deep seated anatomy with no user interactions, while preserving depth continuity with surrounding(s) and with minimal distortion for improved clinical assessment.

Abstract: A method and an electronic device (100) are disclosed for generating semantic representation of a document to determine data security risk associated with the document. The method includes receiving, by a document semantics controller (160) of the electronic device (100), a document in an electronic form and determining, by the document semantics controller (160), raw text. Further, the method includes generating, by the document semantics controller (160), a plurality of sentence blocks using the raw text and determining, by the document semantics controller (160), embeddings for the plurality of sentence blocks. Further, the method includes determining, by the document semantics controller (160), the semantic representation of the document based on the embeddings for each of the sentence blocks; and generating, by the document semantics controller (160), the semantic representation of the document to determine the data security risk associated with the document.