Abstract: The present disclosure relates to a concept for training one or more model parameters of a predictive parking difficulty model for different locations based on collected telemetry data. A ground truth ranking related to subjective parking difficulties at the different locations is obtained based on pairwise comparison of parking difficulties between pairs of the different locations by one or more humans. A prediction loss between a model ranking of the different locations obtained by the predictive parking difficulty model and the ground truth ranking is determined. The one or more model parameters are adjusted to minimize the prediction loss between the model ranking and the ground truth ranking.

Abstract: The present disclosure relates to a concept for training one or more model parameters of a predictive parking difficulty model for different locations based on collected telemetry data. A ground truth ranking related to subjective parking difficulties at the different locations is obtained based on pairwise comparison of parking difficulties between pairs of the different locations by one or more humans. A prediction loss between a model ranking of the different locations obtained by the predictive parking difficulty model and the ground truth ranking is determined. The one or more model parameters are adjusted to minimize the prediction loss between the model ranking and the ground truth ranking.

Abstract: A navigation system includes primary and secondary navigation device, and a server. The secondary navigation device transmits geolocation data to the server. The primary navigation device receives user input indicating a destination. The primary navigation device also determines a current route to the destination based on a current location of the primary navigation device, and transmits the current route to the server. The primary navigation device also receives and displays a difficulty index from the server in response to transmitting the current route. The server determines historical routes reflecting historical commutes based on the geolocation data. The server also determines the difficulty index based on the one or more historical routes and the current route, and transmits the difficulty index to the primary navigation device in response to receiving the current route.

Abstract: An approach is provided for training a device to associate user, object or device context information with a user defined context. The context information platform receives recorded context information from a device. The associated recorded context information is then associated with the context to enable training of a context model associated with the context.

Abstract: A navigation system includes primary and secondary navigation device, and a server. The secondary navigation device transmits geolocation data to the server. The primary navigation device receives user input indicating a destination. The primary navigation device also determines a current route to the destination based on a current location of the primary navigation device, and transmits the current route to the server. The primary navigation device also receives and displays a difficulty index from the server in response to transmitting the current route. The server determines historical routes reflecting historical commutes based on the geolocation data. The server also determines the difficulty index based on the one or more historical routes and the current route, and transmits the difficulty index to the primary navigation device in response to receiving the current route.

Abstract: An apparatus for providing compound models for speech recognition adaptation. The apparatus may include processor and memory including computer program code with the memory, the computer program code being configured, with the processor, to cause the apparatus to at least receive a speech signal corresponding to a particular speaker. The apparatus may further be configured to select a cluster model including both a speaker independent portion and a speaker dependent portion based at least in part on a characteristic of speech of the particular speaker. The apparatus may be further configured to process the speech using the selected cluster model. The apparatus may be further configured to cause at least a speaker dependent portion of one or more non-selected cluster models to be stored remotely. A corresponding method and computer program product are also provided.

Abstract: The present invention relates to a conveyor system (2) comprising a support frame (4) and an endless carrier chain (6) arranged horizontally thereon and defining an upper part (6a) and a lower part (6b); the carrier chain thereby having an inner side (12) and an outer side (14); wherein the support frame comprises a shielding element (24) in an area (A) defined between the inner side (12a) of the upper part of the carrier chain (6) and the inner side (12b) of the lower part of the carrier chain (6); wherein the shielding element (24) itself, or in combination with the first main support element (16) and/or the second main support element (18) having an extension that blocks a direct access between any point P1 located on the inner side (12a) of the upper part of the carrier chain (6) and a corresponding point P2 located on the inner side (12b) of the lower part of the carrier chain.

Abstract: The present invention relates to a conveyor system (2) comprising a support frame (4) and an endless carrier chain (6) arranged horizontally thereon and defining an upper part (6a) and a lower part (6b); the carrier chain thereby having an inner side (12) and an outer side (14); wherein said support frame comprises a shielding element (24) in an area (A) defined between the inner side (12a) of the upper part of the carrier chain (6) and the inner side (12b) of the lower part of the carrier chain (6); wherein said shielding element (24) itself, or in combination with the first main support element (16) and/or the second main support element (18) having an extension that blocks a direct access between any point P1 located on the inner side (12a) of the upper part of the carrier chain (6) and a corresponding point P2 located on the inner side (12b) of the lower part of the carrier chain.

Abstract: An approach is provided for initiating a device action in response to determining context information associated with a device, a user of the device, or a combination thereof. Activity information on at least one of the device and one or more other devices is monitored by a context processing platform. The context processing platform defines a context based on the activity information. An action is then executed by the device or the one or more other devices based on the determined context.

Abstract: An approach is provided for training a device to associate user, object or device context information with a user defined context. The context information platform receives recorded context information from a device. The associated recorded context information is then associated with the context to enable training of a context model associated with the context.

Abstract: An approach is provided for estimating user characteristics based on user interaction data. A characteristics determination logic retrieves an interaction data from a device associated with a use. Next, the characteristics determination logic determines a usage vector from the interaction data. Then, the characteristics determination logic correlates the determined usage vector with one or more predefined characteristics. Then, the characteristics determination logic computes a user characteristics profile based, at least in part, on the one or more correlated characteristics.

Abstract: A system for supporting version management is provided. The system includes a first application having a plurality of versions. Each of the plurality of versions is associated with a separate a version-specific assembly. A loader is configured to load one of the version-specific assemblies, the assembly then being utilized as a basis for deriving an object from a database associated with the first application. The object is provided to a second application, typically in response to a corresponding request.

Abstract: An apparatus for providing compound models for speech recognition adaptation includes a processor. The processor may be configured to receive a speech signal corresponding to a particular speaker, select a cluster model including both a speaker independent portion and a speaker dependent portion based at least in part on a characteristic of speech of the particular speaker, and process the speech signal using the selected cluster model. A corresponding method and computer program product are also provided.

Abstract: Systems and methods are provided for compressing data models, for example, N-gram language models used in speech recognition applications. Words in the vocabulary of the language model are assigned to classes of words, for example, by syntactic criteria, semantic criteria, or statistical analysis of an existing language model. After word classes are defined, the follower lists for words in the vocabulary may be stored as hierarchical sets of class indexes and word indexes within each class. Hierarchical word indexes may reduce the storage requirements for the N-gram language model by more efficiently representing multiple words in a single list in the same follower list.

Abstract: Method for speech recognition comprising inputting frames comprising samples of an audio signal; forming a feature vector comprising a first number of vector components for each frame; projecting the feature vector onto at least two subspaces so that the number of components of each projected feature vector is less than the first number and the total number of components of the projected feature vectors is the same as the first number; defining a set of mixture models for each projected vector which provides the highest observation probability; analysing the set of mixture models to determine the recognition result. When the recognition result is found, the method comprises determining a confidence measure for the recognition result, the determining comprising determining a probability that the recognition result is correct; determining a normalizing term; and dividing the probability by the normalizing term.

Abstract: A method for compressing a language model that comprises a plurality of N-grams and associated N-gram probabilities. The method comprises forming at least one group of N-grams from the plurality of N-grams; sorting N-gram probabilities associated with the N-grams of the at least one group of N-grams; and determining a compressed representation of the sorted N-gram probabilities. The at least one group of N-grams may be formed from N-grams of the plurality of N-grams that are conditioned on the same (N?1)-tuple of preceding words. The compressed representation of the sorted N-gram probabilities may be a sampled representation of the sorted N-gram probabilities or may comprise an index into a codebook. The invention further relates to an according computer program product and device, to a storage medium for at least partially storing a language model, and to a device for processing data at least partially based on a language model.

Abstract: The present invention relates to a packing for an infusion set. The infusion set for intermittent or continuous administration of a therapeutic substance, such as insulin, includes an infusion part having a cannula penetrating the skin of a patient and a connector which connects the infusion part with a medical device such as an adaptor for a syringe or an insulin pump. The insertion of the infusion part will be performed with an insertion needle which is delivered together with the infusion part under sterile conditions. The packaging includes an impenetrable part protecting the surroundings from the insertion needle and a removal part which is to be removed by the user before applying the infusion part. The inner surface of the impenetrable part is provided with a retainer for releasable retaining at least a part of the infusion set.

Abstract: A task navigator or system generates a navigation interface display. In illustrated embodiments, the navigation interface display includes multiple task segments and a find segment. Tasks are segmented in the navigation interface based upon whether they are primary or secondary tasks.

Abstract: The invention concerns a joystick arrangement (1) with a basic unit (3) and a movable handle unit (2), which comprises at least one electrical function element (15) with an energy supply connection and an endpoint of a wireless signal transmission path. It is endeavoured to simplify the mounting. For this purpose, the energy supply connection is connected with a power receiver (16) located in the handle unit (2), which power receiver (16) can be supplied with energy via a wireless power transmission path (20).

Abstract: The invention concerns a steering arrangement (1) with a steering angle indicator (2), a steering drive (4), at least one wheel (5) driven by the steering drive (4), a sensor arrangement for sensing the angle position of the wheel (5) and a control device (14). To simplify mouting and maintenance, the embodiment of such steering arrangements must be simple.