Patentship Patentanwaltsgesellschaft mbH

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.

Zusammenfassung wird geladen …

Zusammenfassung wird geladen …

Zusammenfassung wird geladen …

Die Erfindung betrifft ein Verfahren zur Lastbestimmung bei einem Flurförderzeug, insbesondere einem Gegengewichtsgabelstapler oder Schubmaststapler, mit einer einen Hubmast (1a) mit mindestens einem Mastprofil (1d) umfassenden Lasthandhabungsvorrichtung (1), sowie ein entsprechendes Flurförderzeug. Es wird vorgeschlagen, dass eine elastische Verformung des Mastprofils (1d) mittels einer Sensorik (4) erfasst wird und daraus ermittelte Verformungsdaten mit einem in einer Steuereinrichtung (SE) des Flurförderzeugs gespeicherten, auf fahrzeugspezifischen Informationen basierenden, physikalischen Rechenmodell (D) des Flurförderzeugs verarbeitet werden, und daraus Lastmasse (L) und Lastschwerpunkt (LS) bestimmt werden.

Zusammenfassung wird geladen …