Patentship Patentanwaltsgesellschaft mbH

The present invention provides an image identifying system (100) and method, including an anatomical image module (110), a contour module (120), a pixel value module (130), and a recognition analysis module (140). The anatomical image module (110) reads anatomical images. The contour module (120) recognizes the body contour based on the anatomical images. The pixel value module (130) sets the first pixel value and the second pixel value, which correspond and filter the first pixel region (620) and the second pixel region (630) within the body contour, respectively. The recognition analysis module (140) expands the first pixel region (620) and the second pixel region (630) outward by a voxel range to form a first expanded region (640) and a second expanded region (650). The first expanded region (640) is then adjusted by excluding the area of overlap between the first expanded region (640) and the second expanded region (650) to form a preprocessing region.

A medical security management system (100) and method, including: a clinical control terminal (110), further including a clinical security control module (112); a neutron beam control terminal (120), connected to the clinical control terminal (110), controlling the operation of the accelerator terminal (200), wherein the neutron beam control terminal (120) further includes an accelerator security control module (121). The system (100) further including a consensus mechanism module (130), storing at least one consensus mechanism. When the clinical control terminal (110) transmits a neutron beam generation request to the neutron beam control terminal (120), the accelerator security control module (121) and the clinical security control module (112) respectively generate and transmit a first key and a second key to the consensus mechanism module, thereby the consensus mechanism module drive the accelerator terminal to generate a neutron beam if the first key (1) and the second key (2) meet the requirement of the consensus mechanism.

The present invention provides a medical image analysis system (100) and method, improving the accuracy of boron quantitative analysis between the boundary of the human body and the air through the fusion of anatomical images and functional images. The system (100) includes a contour module (120), an image fusion module (140), and a distribution analysis module (150). The contour module (120) receives an anatomical image and a functional image. The contour module (120) further includes a contour recognition unit (121) and a contour definition unit (122). The contour recognition unit (121) identifies geometric contours in the anatomical image. The contour definition unit (122) defines distribution contours based on the signal intensity of boron in the functional image. The image fusion module (140) registers the anatomical image and functional image. The image fusion module (140) outputs the result of the intersection area of the geometric and distribution contours.

A radiation shielding structure (200) is provided. The radiation shielding structure (200) includes a filter module (210), a shielding module (220), and a structural wall (230). The filter module (210) has a first aperture (211) for a neutron beam to pass through. The shielding module (220) has a second aperture (221). The structural wall (230) has a third aperture (231) for output of the neutron beam. The shielding module (220) is configured in front of the structural wall (230) or directly behind the filter module (210). The shielding module (220) may be moved in a direction perpendicular to the direction of the neutron beam so that the shielding module (220) may be moved to an open state or a closed state.

A holding mechanism (100) is provided. The holding mechanism (100) includes a base (110) and a bracket (120). The bracket (120) is connected to the base (110). The bracket (120) is rotatable relative to the base (110). The holding mechanism (100) includes a connecting member (130) disposed between the base (110) and the bracket (120). The holding mechanism (100) also includes a supporting member (140) surrounding the bracket (120) and suitable for supporting the wire portion (60) of the electronic device (50). In addition, the holding mechanism (100) includes a plurality of first magnetic elements (150) disposed on the supporting member (140). In the stowed state, the first magnetic elements (150) are arranged in a linear direction. Accordingly, the electronic device (50) can be stretched and rotated in multiple directions, and the electronic device (50) can automatically return to its original position by the arrangement of first magnetic elements (150), thereby improving the convenience of using and restoring the electronic device (50).

Each memory location of a main memory (140) is associated with a respective tag bit indicating whether a respective value stored at the respective memory location is a pointer. A revocation entity (135) invalidates one or more pointers referring to one or more deallocated objects in the main memory. The revocation entity is arranged between a memory interconnect (130) and the main memory, and implements a revocation operation, comprising loading a value from a current memory location of the main memory, and overwriting the tag bit associated with the current memory location of the main memory, if the loaded value is a pointer referring to a deallocated object. The revocation entity detects store operations of a main processor (120) to the main memory and aborts the revocation operation, if during the revocation operation a store operation to the current memory location of the main memory is detected.

An autonomous pentesting agent (105) may execute an autonomous pentest of a network (110) including a first network asset (305) and additional network assets (310, 315, 320, 325) that are downstream from the first network asset (305) within attack paths of the autonomous pentest. The autonomous pentesting agent (105) may gain unauthorized access to the first network asset (305), and, based on accessing the first network asset (305), gain unauthorized access to the additional network assets (310, 315, 320, 325). The autonomous pentesting agent (105) may generate, as part of the autonomous pentest, scores for the first network asset (305) and the additional network assets (310, 315, 320, 325). A first score for the first network asset (305) may be based on a first weakness score (360) of the first network asset (305) and on additional weakness scores corresponding to the additional network assets (310, 315, 320, 325) that are downstream from the first network asset (305). The autonomous pentesting agent (105) may output, based on the autonomous pentest, a ranking of network assets based on the scores.

Methods and apparatus for cross-color LM (Linear Mode) Intra prediction are disclosed. According to one method, when a current top area or a current left area of the current block is across a restricted boundary, a current LM parameter set is derived based on reduced neighboring reconstructed areas. The reduced neighboring reconstructed areas comprise a reduced top area having less than N top lines or less than N left lines if the current top area or the current left area is across the restricted boundary. According to another method, if the current top area is across the restricted boundary, expanded left area is used for deriving LM parameter set and if the current left area is across the restricted boundary, expanded top area is used for deriving LM parameter set. A method for multi-LM mode is also disclosed for restricted boundaries.

A method and apparatus of entropy coding of coding symbols using Context-Based Adaptive Binary Arithmetic Coder (CABAC) are disclosed. According to the present invention, a math formula is used for calculating the LPS range for deriving rangeOne value and rangeZero value. For example, the LPS range is derived using one or more mathematical operations comprising calculating a multiplication of a first value and a second value, in which the first value is related to (2 * the LPS probability index + 1) or the LPS probability index, while the second value is related to (2 * the range index + 1) or the range index. Besides, the LPS range can be derived by using a look-up-table including table contents corresponding to values of LPS range associated with a set of LPS probability indexes and a set of range indexes for encoding or decoding a binary value of the current bin.

Methods and apparatus of Inter prediction for video coding including affine Inter mode are disclosed. In one method, an affine MVP candidate list is generated, wherein the affine MVP candidate list comprises at least one inherited affine MVP derived from a neighbouring block set. Prediction differences of a current controlpoint MV set associated with the affine motion model are encoded using one predictor selected from the affine MVP candidate list at the video encoder side or the prediction differences of the current controlpoint MV set associated with the affine motion model are decoded at the video decoder side using one predictor selected from the affine MVP candidate list. In another method, the inherited affine MVP is derived by considering whether at least one of reference picture lists of said at least one neighbouring block includes one reference picture being the same as a current reference picture of the current block.