Abstract: A method for operating a control unit, such a control unit, and an electronic hardware security module are provided. A manipulation of a main computer unit is detected by the electronic hardware security module, and a check takes place whether reprogramming is possible.

Abstract: A method and a computer program are provided for implementing memory accesses. A hypervisor is used for this purpose, via which the memory access takes place.

Abstract: A method for operating a control unit, such a control unit, and an electronic hardware security module are provided. A manipulation of a main computer unit is detected by the electronic hardware security module, and a check takes place whether reprogramming is possible.

Abstract: A method and a computer program are provided for implementing memory accesses. A hypervisor is used for this purpose, via which the memory access takes place.

Abstract: A cryptographic hardware module has an arithmetic unit, a memory storing at least one first key, a logic and a cryptographic device. The hardware module loads at least one second encrypted key into the hardware module and decrypts the at least one second encrypted key via the cryptographic device using the at least one first key.

Abstract: A user profile and/or the suggestions computed based thereon are obtained taking a special set of user features into account. The user features are defined to represent a typical general behaviour of an individual user in respect to the application where the user profile is used. In other words, for each application where a user profile is used a special set of user features are defined which are able to represent a typical general behaviour of an individual user. Based on these user features the weights in the list of word-weight pairs or weighted keywords which represents the user profile are computed or influenced during the creation of the user profile, and/or a mufti-user profile is split during the creation of an individual user profile from a mufti-user profile, and/or during specification of a suggestion a user history which is used to create the user profile, and/or the user profile, and/or the suggestion results are filtered.

Abstract: A Method of operating a dialogue system for serving complex user requests by appropriately controlling a network of devices (D1, . . . , Dn) and/or applications, wherein each device (D1, . . . , Dn) and/or application and its functionality are modeled by a finite state machine (FSM-1, FSM-2, FSM-3), which is using a plan language, wherein a reasoning component (1) is used in order to determine a plan (P) using said plan language for serving a received complex user request, wherein said reasoning component (1) is adapted for determining said plan (P) using said finite state machines (FSM-1, FSM-2, FSM-3), of said devices (D1, . . . , Dn) and/or applications, wherein a plan processing module (2) is used in order to perform a determined plan (P) for serving a received user request, and wherein said plan language is designed in order to enable the determination of conditional plans by said reasoning component (1), in particular by providing conditional planning commands.

Abstract: A user profile and/or the suggestions computed based thereon are obtained taking a special set of user features into account. The user features are defined to represent a typical general behaviour of an individual user in respect to the application where the user profile is used. In other words, for each application where a user profile is used a special set of user features are defined which are able to represent a typical general behaviour of an individual user. Based on these user features the weights in the list of word-weight pairs or weighted keywords which represents the user profile are computed or influenced during the creation of the user profile, and/or a mufti-user profile is split during the creation of an individual user profile from a mufti-user profile, and/or during specification of a suggestion a user history which is used to create the user profile, and/or the user profile, and/or the suggestion results are filtered.

Abstract: A user profile and/or the suggestions computed based thereon are obtained taking a special set of user features into account. The user features are defined to represent a typical general behaviour of an individual user in respect to the application where the user profile is used. In other words, for each application where a user profile is used a special set of user features are defined which are able to represent a typical general behaviour of an individual user. Based on these user features the weights in the list of word-weight pairs or weighted keywords which represents the user profile are computed or influenced during the creation of the user profile, and/or a multi-user profile is split during the creation of an individual user profile from a multi-user profile, and/or during specification of a suggestion a user history which is used to create the user profile, and/or the user profile, and/or the suggestion results are filtered.

Abstract: A user profile and/or the suggestions computed based thereon are obtained taking a special set of user features into account. The user features are defined to represent a typical general behaviour of an individual user in respect to the application where the user profile is used. In other words, for each application where a user profile is used a special set of user features are defined which are able to represent a typical general behaviour of an individual user. Based on these user features the weights in the list of word-weight pairs or weighted keywords which represents the user profile are computed or influenced during the creation of the user profile, and/or a multi-user profile is split during the creation of an individual user profile from a multi-user profile, and/or during specification of a suggestion a user history which is used to create the user profile, and/or the user profile, and/or the suggestion results are filtered.

Abstract: A Method of operating a dialogue system for serving complex user requests by appropriately controlling a network of devices (D1, . . . , Dn) and/or applications, wherein each device (D1, . . . , Dn) and/or application and its functionality are modeled by a finite state machine (FSM-1, FSM-2, FSM-3), which is using a plan language, wherein a reasoning component (1) is used in order to determine a plan (P) using said plan language for serving a received complex user request, wherein said reasoning component (1) is adapted for determining said plan (P) using said finite state machines (FSM-1, FSM-2, FSM-3) of said devices (D1, . . . , Dn) and/or applications, wherein a plan processing module (2) is used in order to perform a determined plan (P) for serving a received user request, and wherein said plan language is designed in order to enable the determination of conditional plans by said reasoning component (1), in particular by providing conditional planning commands.

Abstract: The present invention relates to a method for recognizing speech, which method leads to an improved recognition rate compared to prior art. Within the method a language model is applied which is based on attribute information of a word, which is descriptive for syntactic and/or semantic information and/or the like of the respective word.