Abstract: A plurality of different images of a same region of interest in an object are input into a set of neural networks, wherein each image of the region has been captured under a different value of a variable condition. A classification for each image is generated by the set of neural networks, wherein each classification includes a confidence score in a prediction of whether a feature is present in the region. The image classifications are ensembled to generate a final classification for the region. By applying a loss function, a loss is computed based on comparing the final classification to a ground truth of whether the feature is present in the region. The parameters of the set of neural networks are adjusted based on the computed loss.

Abstract: The present invention relates to the technical field of construction engineering, and specifically to configurations and close-fitting joints for a second-order scissor damper and an assembly method for the same. There six parts in total, including first hinge joints, a first-order shuttle-shaped linkage mechanical component, second hinge joints, a second-order shuttle-shaped linkage mechanical component, third hinge joints, and a viscous damper; the second-order shuttle-shaped linkage mechanical component includes four small connecting rods of equal length and it is formed by hinging them together. The device of the present invention can constrain the joints, release the bending constraints on the ends of the rods, and enable a significant increase in the stroke amplification of the conventional scissor damper.

Abstract: A distributed feedback laser integrated on silicon comprising a combination of a waveguide of a first material and a laser diode a second material, different from the first material, wherein the laser diode comprises a plurality of regularly spaced metalized grating elements which form a single longitudinal mode; wherein the waveguide comprises a plurality of waveguide elements separated by metalized regions; and wherein the metalized grating elements and the metalized regions are adapted to be coupled to one another to form the distributed feedback laser.

Abstract: A hybrid photonic chip comprising a plurality of semiconductor materials arranged to define a chip providing a function, wherein at least a first part of the chip is formed of materials which can be fabricated using a CMOS technique; and at least a second part of the chip which comprises non-linear crystal material and is not subjected to etching process; wherein the second part of the chip in conjunction with the first part is configured to support a propagating low loss single mode.

Abstract: The present invention relates of a photonic integrated and a method of fabricating a photonic integrated chip, PIC, configured for alignment and attachment of a laser diode in a predetermined position in which light from the laser diode is aligned with an input of the PIC; wherein the photonic chip comprises an asymmetric alignment assembly for receiving and aligning the laser diode in the predetermined position; and wherein the input comprises a coupler for receiving a laser beam from the laser diode in use.

Abstract: The present invention relates to a damage-free engagement device for wind-resistance of base-isolated structures. It includes a rubber seismic isolation support, upper and lower connecting plates, and a wind-resistance stiffness adjuster. The adjuster comprises a horizontal sliding bearing plate, a vertical guide groove, and components within the guide groove. These components include a bird beak plate, a disc spring group, and a stiffness adjustment bolt. The bird beak plate slides along the guide groove and engages with the sliding bearing plate. The invention improves horizontal stiffness while maintaining seismic isolation. It achieves a “wind lock-seismic unlock-wind lock” mechanism without component replacement, reducing maintenance costs.

Abstract: According to embodiments of the present invention, a method, a device and a computer program product for image processing is provided. A computing device obtains an image of a first object, the image presenting a defect of the first object. A computing device obtains defect distribution information indicating respective frequencies of a plurality of predetermined categories of defects presented at corresponding locations in a plurality of training images, the plurality of training images presenting second objects and being used for training a defect classifier. A computing device determines a target category of the defect of the first object by applying the image and the defect distribution information to the defect classifier. A computing device generates one or more correction notifications.

Abstract: Embodiments of the present invention facilitate product defect detection. A computer-implemented method comprises: receiving, by a device operatively coupled to one or more processors, a template image of a normal product; generating, by the device, one or more geometric training parameters for transforming the template image; and transforming, by the device, the template image using the one or more geometric training parameters to generate a transformed image for training a data model, wherein the trained data model being used for aligning the template image and an image under inspection of a product.

Abstract: A tunable element for an optical waveguide device, such as an Optical Phased Array (OPA), is described. Tunable element comprises three waveguide sections arranged such that light propagates through the first waveguide section, then through the second waveguide section and then through the third waveguide section, with light being either evanescently or directly coupled from one waveguide section to the next. The tunable element further comprises one or more resistive heating pad formed proximate to the second waveguide section. The first and third waveguide sections are formed from a first material and the second waveguide section is formed from a second, different material and the second material is more thermo-optically sensitive than the first material.

Abstract: In an approach to AI empowered factory automation using an industrial IoT, responsive to receiving a new production task, production requirements are input into an AI engine. Equipment and software containers are selected based on the AI model. An orchestration service is created, where the orchestration service collaborates the equipment and the software containers.

Abstract: A method and system for generating a three-dimensional (3D) virtual scene are disclosed. The method includes: identifying a two-dimensional (2D) object in a 2D picture and the position of the 2D object in the 2D picture; obtaining the three-dimensional model of the 3D object corresponding to the 2D object; calculating the corresponding position of the 3D object corresponding to the 2D object in the horizontal plane of the 3D scene according to the position of the 2D object in the picture; and simulating the falling of the model of the 3D object onto the 3D scene from a predetermined height above the 3D scene, wherein the position of the landing point the model of the 3D object in the horizontal plane is the corresponding position of the 3D object in the horizontal plane of the 3D scene.

Abstract: A method and system for generating a three-dimensional (3D) virtual scene are disclosed. The method includes: identifying a two-dimensional (2D) object in a 2D picture and the position of the 2D object in the 2D picture; obtaining the three-dimensional model of the 3D object corresponding to the 2D object; calculating the corresponding position of the 3D object corresponding to the 2D object in the horizontal plane of the 3D scene according to the position of the 2D object in the picture; and simulating the falling of the model of the 3D object onto the 3D scene from a predetermined height above the 3D scene, wherein the position of the landing point the model of the 3D object in the horizontal plane is the corresponding position of the 3D object in the horizontal plane of the 3D scene.

Abstract: A computer-implemented method applies labels to unlabeled public data for use by a global model. One or more processors train one or more local machine learning models with local private data to create one or more trained models. Processor(s) generate a label for each of the local private data using the one or more trained models, where each label describes the local private data, and then apply the label to unlabeled public data to create labeled public data. One or more processors then input the labeled public data into a global model that uses the public data.

Abstract: A computer-implemented method includes detecting, by a bridge container running inside a container scope, connection information about a first service instance running to provide a respective first service outside the container scope. A first virtual container is initialized inside the container scope. The first virtual container is connected to the first service instance, utilizing the connection information about the first service instance, to virtualize the first service instance inside the container scope. It is detected that that a first source container inside the container scope requires the first service of the first service instance. The first source container is connected to the first virtual container to enable the first source container to access the first service instance through the first virtual container.

Abstract: A hybrid photonic chip comprising a plurality of semiconductor materials arranged to define a chip providing a function, wherein at least a first part of the chip is formed of materials which can be fabricated using a CMOS technique; and at least a second part of the chip which comprises non-linear crystal material and is not subjected to etching process; wherein the second part of the chip in conjunction with the first part is configured to support a propagating low loss single mode.

Abstract: The present invention relates of a photonic integrated and a method of fabricating a photonic integrated chip, PIC, configured for alignment and attachment of a laser diode in a predetermined position in which light from the laser diode is aligned with an input of the PIC; wherein the photonic chip comprises an asymmetric alignment assembly for receiving and aligning the laser diode in the predetermined position; and wherein the input comprises a coupler for receiving a laser beam from the laser diode in use.

Abstract: In an approach for object detection with missing annotations under visual inspection, a processor receives an image. A processor classifies the image being a not-good image using a pre-trained classifier. A not-good image means one or more defect objects being in the image. A processor, in response to classifying the image being the not-good image, detects the one or more defect objects in the not-good image. A processor masks the one or more defect objects in the not-good image. A processor inputs the masked image to train a detector.

Abstract: In an approach to AI empowered factory automation using an industrial IoT, responsive to receiving a new production task, production requirements are input into an AI engine. Equipment and software containers are selected based on the AI model. An orchestration service is created, where the orchestration service collaborates the equipment and the software containers.

Abstract: A processor may receive an image of the collection of material having a plurality of objects. The processor may identify the anomaly from the plurality of objects. The processor may generate a bounding box for the anomaly. The processor may generate one or more picking points on the anomaly. The one or more picking points may be configured on at least one balance points of the anomaly. The processor may remove the anomaly from the collection of material via the one or more picking points.

Abstract: In accordance with an embodiment, a network device has an input port for receiving input packets, and an output port for sending output packets, where the input packets and output packets have context layer information. The network device also includes a processor configured to process the input packets and output packets using a network protocol having a context layer.