Abstract: Embodiments of the present disclosure provide a method and an apparatus of correcting a collimator, which may correct a position of a collimator of a gamma knife apparatus. The method includes: separately obtaining a projection image of rays sequentially passing through collimation holes and an isocenter plane in the collimator in cases where the collimator moves to M positions; determining a target position with a highest degree of alignment of the collimator from the M positions according to obtained projection images of rays; recording position parameters corresponding to the target position, so as to control the collimator to move to the target position in a case where the a gamma knife apparatus is used for treatment.

Abstract: Modified forms of hemagglutinin (HA) protein including those with modified immunodominant regions and with modified maturation cleavage sites, and virus and virus-like particles containing them are disclosed.

Abstract: A board defect filtering method is provided. The method includes: receiving a defect list; obtaining a plurality of defect images of a plurality of defect records on the defect list; receiving a circuit layout image; analyzing a defect location of a first defect image of the plurality of defect images according to the circuit layout image; cropping the first defect image to obtain a first cropped defect image according to the defect location; inputting the first cropping defect image to a defect classifying model; and determining whether the first defect image is a qualified product image or not according to an output result of the defect classifying model.

Abstract: An image-guided method and radio therapy device are provided. The method includes: acquiring a rotation offset, a planned image and a real-time image of a target object; and determining a tracking offset based on the rotation offset, the planned image and the real-time image, the tracking offset being used for tracking the target object; where the rotation offset is generated by a position difference of the target object in a planning stage and a treatment stage. The planned image of the target object is acquired in the planning stage. The tracking offset is determined based on the rotation offset, the planned image and the real-time image. The tracking of the target object based on the tracking offset compensates for image distortion caused by the deflection of the position of the target object in the planning stage and the treatment stage.

Abstract: A convolutional neural-network calculating apparatus including a bidirectional-output operation module and a data scheduler is provided. The bidirectional-output operation module includes a number of bidirectional-output operators, a number of row-output accumulators, and a number of column-output accumulators. Each bidirectional-output operator has a row-output port and a column-output port. The row-output accumulators are coupled to the row-output ports, and the column-output accumulators are coupled to the corresponding column-output ports. The data scheduler is configured to provide a number of values of an input data and a number of convolution values of the convolution kernels to the bidirectional-output operators. In a first operation mode, the bidirectional-output operators output operation results to the corresponding column-output accumulators through the column-output ports.

Abstract: A convolutional neural network (CNN) operation accelerator comprising a first sub-accelerator and a second sub-accelerator is provided. The first sub-accelerator comprises I units of CNN processor cores, J units of element-wise & quantize processors, and K units of pool and nonlinear function processor. The second sub-accelerator comprises X units of CNN processor cores, Y units of first element-wise & quantize processors, and Z units of pool and nonlinear function processor. The above variables I˜K, X˜Z are all greater than 0, and at least one of the three relations, namely, “I is different from X”, “J is different from Y”, and “K is different from Z”, is satisfied. A to-be-performed CNN operation comprises a first partial CNN operation and a second partial CNN operation. The first sub-accelerator and the second sub-accelerator perform the first partial CNN operation and the second partial CNN operation, respectively.

Abstract: A classification system is described which may include neural network decomposition logic (“NND”), which may perform classification using a neural network (“NN”). The NND may decompose a classification decision into multiple sub-decision spaces. The NND may perform classification using an NN that has fewer neurons than the NND utilizes for classification and/or which accepts feature vectors of a smaller size than are input into the NND. The NND may maintain multiple contexts for sub-decision spaces, and may switch between these in order to perform classification using the sub-decision spaces. The NND may combine results from the sub-decision spaces to decide a classification. By diving the decision into sub-decision spaces, the NND may provide for classification decisions using NNs that might otherwise be unsuitable for a particular classification decisions. Other embodiments may be described and/or claimed.

Abstract: Embodiments of the present disclosure provide a method and an apparatus of correcting a collimator, which may correct a position of a collimator of a gamma knife apparatus. The method includes: separately obtaining a projection image of rays sequentially passing through collimation holes and an isocenter plane in the collimator in cases where the collimator moves to M positions; determining a target position with a highest degree of alignment of the collimator from the M positions according to obtained projection images of rays; recording position parameters corresponding to the target position, so as to control the collimator to move to the target position in a case where the a gamma knife apparatus is used for treatment.

Abstract: A resistance-integrated gas sensor is provided, including a substrate, a first metal oxide layer, an insulating layer, a contact metal layer, a contact hole, a second metal oxide layer, and an interdigitated electrode layer. The first metal oxide layer is disposed in the substrate. The insulating layer is disposed on the substrate and the first metal oxide layer. The contact metal layer and the contact hole are disposed in the insulating layer. The second metal oxide layer is disposed on the insulating layer. A portion of the interdigitated electrode layer is disposed on the insulating layer, and another portion is disposed in the second metal oxide layer. The contact metal layer and the contact hole connect the first metal oxide layer and the interdigitated electrode layer.

Abstract: Modified forms of hemagglutinin (HA) protein including those with modified immunodominant regions and with modified maturation cleavage sites, and virus and virus-like particles containing them are disclosed.

Abstract: A board defect filtering method is provided. The method includes: receiving a defect list; obtaining a plurality of defect images of a plurality of defect records on the defect list; receiving a circuit layout image; analyzing a defect location of a first defect image of the plurality of defect images according to the circuit layout image; cropping the first defect image to obtain a first cropped defect image according to the defect location; inputting the first cropping defect image to a defect classifying model; and determining whether the first defect image is a qualified product image or not according to an output result of the defect classifying model.

Abstract: Modified forms of hemagglutinin (HA) protein including those with modified immunodominant regions and with modified maturation cleavage sites, and virus and virus-like particles containing them are disclosed.

Abstract: Modified forms of hemagglutinin (HA) protein including those with modified immunodominant regions and with modified maturation cleavage sites, and virus and virus-like particles containing them are disclosed.

Abstract: Disclosed are a method and apparatus for allocating SVLANs and a method and system for establishing an Ethernet service. The SVLANs allocation method of the present disclosure is applied for establishment of the Ethernet service and includes: pre-storing nodes in a transmission network bearing Ethernet service and SVLANs which have been used on the nodes; after receiving a SVLAN allocation request, automatically acquiring SVLANs which have been used on the nodes required for establishing the Ethernet service by the transmission network according to the stored nodes and SVLANs; and allocating a SVLAN which is not used by all of the nodes required for establishing the Ethernet service to the Ethernet service according to the acquisition result.

Abstract: An apparatus for managing inner-network element transmission resources is described. The apparatus includes a resource configuration unit, a resource abstraction unit and a resource sending unit, wherein the resource configuration unit is configured to obtain information of inner-network element transmission resources and to receive a service operation instruction, and to search the resource abstraction unit for an internal path corresponding to the service operation instruction to obtain an operation command for a transmission resource; the resource abstraction unit is configured to perform abstract representation on the information of the transmission resources to obtain internal paths; the resource sending unit is configured to send the operation command for the transmission resource to a corresponding board. A method for managing inner-network element transmission resources is also described.

Abstract: A classification system is described which may include neural network decomposition logic (“NND”), which may perform classification using a neural network (“NN”). The NND may decompose a classification decision into multiple sub-decision spaces. The NND may perform classification using an NN that has fewer neurons than the NND utilizes for classification and/or which accepts feature vectors of a smaller size than are input into the NND. The NND may maintain multiple contexts for sub-decision spaces, and may switch between these in order to perform classification using the sub-decision spaces. The NND may combine results from the sub-decision spaces to decide a classification. By diving the decision into sub-decision spaces, the NND may provide for classification decisions using NNs that might otherwise be unsuitable for a particular classification decisions. Other embodiments may be described and/or claimed.

Abstract: A method and system for processing RSVP-TE signaling, including: extending an object using unnumbered resources within an RSVP-TE signaling, representing link resources in the signaling with a triple consisted of an area ID, a router ID and an interface; when configuring network resources, configuring each area ID to be different, while an intra-area router ID to be unique; representing resources in a signaling message with the triple when applying cross-area services.

Abstract: According to embodiments of the disclosure, an optical inspection system and an optical inspection method thereof are provided. The optical inspection system may include a lens group, a light source and a lens controlling module. The light source is configured to illuminate an object. The lens group is configured to project the light from the light source as a collimated rectangular shaped light. The lens controlling module is configured to switch the lens group for changing an irradiance of the collimated rectangular shaped light and adjusting an illuminated area of the collimated rectangular shaped light on an object surface of the object.

Abstract: This disclosure provides an image composition system and its method. The system includes: an image capturing unit configured for capturing at least one first image of a real object; a depth information generating unit disposed on the image capturing unit and configured for measuring a depth information between the depth information generating unit and the real object; a computing unit receiving the at least one first image and the depth information, performing the computation of removing a noise caused by a moving object other than the real object from the received depth information, and computing a moving trajectory of the image capturing unit; and a composition unit compositing the at least one first image and a second image of a virtual scene, and display the composited result on a display unit.

Abstract: A method and system for processing RSVP-TE signaling, including: extending an object using unnumbered resources within an RSVP-TE signaling, representing link resources in the signaling with a triple consisted of an area ID, a router ID and an interface; when configuring network resources, configuring each area ID to be different, while an intra-area router ID to be unique; representing resources in a signaling message with the triple when applying cross-area services.