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: 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: 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: The present disclosure relates to training a machine learning model to classify images. An example method generally includes receiving a training data set including images in a first category and images in a second category. A convolutional neural network (CNN) is trained using the training data set, and a feature map is generated from layers of the CNN based on features of images in the training data set. A first area in the feature map including images in the first category and a second area in the feature map where images in the first category overlap with images in the second category are identified. The first category is split into a first subcategory corresponding to the first area and a second subcategory corresponding to the second area. The CNN is retrained based on the images in the first subcategory, images in the second subcategory, and images in the second category.

Abstract: Various embodiments may provide an optical phase array. The optical phase array may include a laser source configured to emit a laser. The optical phase array may further include an integrated photonic network with n stages of optical splitters, the optical splitters being 1 ? 2 optical splitters, each optical splitter of the integrated photonic network having an input, a first output, and a second output. The integrated photonic network may be configured to separate the laser into N outputs. Each output of the N outputs may differ from a neighbouring output of the N outputs by a constant phase difference (??). N may be equal to 2 to the power of n.

Abstract: A comfortable fabric with a strong three-dimensional effect is woven from warps and wefts. The warps and the wefts are woven into a 1/1 pattern, wherein the warp density is 11 threads/cm and the weft density is 10 threads/cm. The warps and the wefts each include a cationic dyeable polyester hollow yarn that comprises two different polyester yarns which can be dyed with two different colors. The warps and wefts comprise big-belly yarns and the cationic dyeable polyester hollow yarns. The resulting fabric has protruding patterns, a strong three-dimensional effect, good air permeability, a rough feel to the touch, and a unique aesthetic appearance.

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.