Abstract: Various embodiments include a method for simulating a conversation using an electronic computing device with an input device, an output device, a simulation controller, and a number of virtual participants. An example includes: providing each virtual participant content from user text or generated text input; producing a response using AI; selecting a participant to forward the user input in text form; analyzing the user input with a text analyzer of the selected virtual participant; transmitting the data of the analysis to a neural network with an AI; working out a reaction with the AI; transmitting the reaction to a text generator of the selected virtual participant; distributing the reaction in text form as a response to the simulation controller; and selecting a further participant with the simulation controller to continue the simulation.

Abstract: Various embodiments include a method for delivering learning content to a person using an electronic computing device. An example method includes: acquiring learning content through an input device of the electronic computing device; analyzing the learning content to identify a learning objective and a fact with the electronic computing device; producing a narration using the learning objective and the fact, the narration containing the learning objective and the fact, using the electronic computing device; and delivering the narration to the person using an output device of the electronic computing device.

Abstract: A system and method for managing software services is provided. The method includes receiving a query from a client device, by a processing unit, for accessing software package corresponding to at least one building block stored in a repository, wherein the building block is a software component associated with a software service, configured for reuse in a plurality of engineering applications. The method further includes identifying the software package corresponding to the building block from the repository based on the query. The method further includes providing access to the software package corresponding to the building block, on the client device, through an integrated development environment.

Abstract: Various embodiments include a cyber-physical system for the automated cleaning of the edge regions of traffic routes and/or green spaces. The system may include: modules of a first type, a second type, and a third type; a communication network; and associated interfaces. The first type identifies a disturbing object. The second type receives the data from the first. The second type comprises a processor in a management system which processes the data and trains neural networks with the data using an artificial intelligence. The management system communicates with the third type and causes it to start a manipulator connected for picking up the disturbing object and/or transporting it away. Each module comprises a respective data memory and a respective processor and can start an action independently.

Abstract: A parking assistance system is remote-controlled for automated parking and exiting from a parking space. The parking assistance system has a receiver for receiving a movement direction of the vehicle selected by the user. A control device which is coupled to the receiver is configured to decide independently, without the user making any specification about the presence of a parking situation or parking-space-exiting situation, whether there is a parking situation or parking-space-exiting situation. If the control device decides that the parking situation is present, the vehicle is parked in the parking space in accordance with the received selected movement direction by forward driving or driving in reverse. Otherwise, if the control device decides that the parking-space-exiting situation is present, the vehicle is made to exit the parking space in accordance with the received selected movement direction by forward driving or driving in reverse.

Abstract: A system and method for managing software services is provided. The method includes receiving a query from a client device, by a processing unit, for accessing software package corresponding to at least one building block stored in a repository, wherein the building block is a software component associated with a software service, configured for reuse in a plurality of engineering applications. The method further includes identifying the software package corresponding to the building block from the repository based on the query. The method further includes providing access to the software package corresponding to the building block, on the client device, through an integrated development environment.

Abstract: In order to improve the development, design and/or deployment of the complex embedded or the cyber-physical systems and in particular the complex software architectures being included and/or used therein of the different technical domains it is proposed a sophisticated expertise or tool-significant Measure Recommendation System. This Measure Recommendation System, particularly formed by the Computer-Program-Product, is tailored to determine and provide appropriate measures to effectively improve the decision-making process during the design, development and/or deployment of the systems of the different technical domains by automatically providing Measure Determining Vectors.

Abstract: An estimation of arterial wall properties is provided. A method for determining a wall property of an artery such as an aorta includes acquiring patient data and extracting physical data from the patient data. The physical data is applied to a blood flow model of the aorta to obtain an individual blood flow model. The wall property of the artery is directly or indirectly determined from the individual blood flow model.

Abstract: In order to improve the development, design and/or deployment of the complex embedded or the cyber-physical systems and in particular the complex software architectures being included and/or used therein of the different technical domains it is proposed a sophisticated expertise or tool-significant Measure Recommendation System. This Measure Recommendation System, particularly formed by the Computer-Program-Product, is tailored to determine and provide appropriate measures to effectively improve the decision-making process during the design, development and/or deployment of the systems of the different technical domains by automatically providing Measure Determining Vectors.

Abstract: A parking assistance system is remote-controlled from outside a motor vehicle and has a remote-controlled parking function for automated parking and exiting from a parking space with at least automated longitudinal guidance into and respectively out of a parking space. The parking assistance system permits parking in the forward parking direction or rearward parking direction depending on the position of the parking space with respect to the vehicle in question. The parking assistance system has a receiver for receiving a movement direction of the vehicle selected by the user. The receiver can receive as the movement direction (selected by the user), a selected forward driving movement direction for driving the vehicle forwards or a rearward driving movement direction for driving the vehicle in reverse depending on the user's choice.

Abstract: In order to compare high-dimensional, multi-modal data for a patient to data for other patients, deep learning is used to encode original, multi-modal data for a patient into a compact signature. The compact signature is compared to predetermined compact signatures generated for other patients, and similar predetermined compact signatures are identified based on the comparison. A clinical outcome may be predicted based on the similar predetermined compact signatures that are identified.

Abstract: A method for automatically identifying a potential pleural effusion in medical image data of a thorax of a patient from a scan by means of a medical scanner is provided. It includes at least the steps of accepting rib cage detection data of the rib cage of the patient from the image data, which rib cage detection data include rib cage extent data of a rib cage extent of the interior of the rib cage, accepting lung detection data of the lung of the patient from the image data, which lung detection data comprise lung extent data of a lung extent of the external boundary of the lung, accepting mediastinum detection data of all organs of the mediastinum in the thorax (Th) of the patient from the image data, which mediastinum detection data comprise mediastinum extent data of a mediastinum extent of the external boundary of the mediastinum, and subtracting the lung extent and the mediastinum extent from the rib cage extent while forming pleural effusion identification data.

Abstract: Methods for profiling a bore of an engine block are provided. Methods can comprise profiling the bore surface with a qualitative optical device (QlOD) to determine a qualitative surface characteristic map of the bore surface, wherein the QlOD comprises a light source configured to emit light toward the bore surface at an emitting angle, and a sensor array configured to sense scattered light reflected from the bore surface, and comparing the qualitative surface characteristic map to a calibration value to determine the suitability of the bore surface for thermal spray deposition. Methods can further include profiling the bore surface with a quantitative optical device (QnOD) to determine a quantitative surface characteristic, and determining a quantitative-qualitative correlation. Methods can further include profiling additional sample areas of the bore surface with the QlOD to determine a qualitative surface characteristic map of the bore surface and applying the correlation to the map.

Abstract: A method and apparatus for mapping an acquisition protocol, for operating a medical imaging apparatus, to an acquisition protocol lexicon include extracting multiple tags from the acquisition protocol, performing text pre-processing in a computer on the extracted tags, converting the pre-processed text in the computer into an input feature set for a classifier, and applying the classifier to associate the input feature set with one or more entries of the acquisition protocol lexicon. The one or more entries of the acquisition protocol lexicon, with which the classifier associates the input feature set, are presented to a user as an output from the computer so as to inform a viewer (user) of those entries in the acquisition protocol lexicon that correspond to the input feature set.

Abstract: In order to compare high-dimensional, multi-modal data for a patient to data for other patients, deep learning is used to encode original, multi-modal data for a patient into a compact signature. The compact signature is compared to predetermined compact signatures generated for other patients, and similar predetermined compact signatures are identified based on the comparison. A clinical outcome may be predicted based on the similar predetermined compact signatures that are identified.

Abstract: An estimation of arterial wall properties is provided. A method for determining a wall property of an artery such as an aorta includes acquiring patient data and extracting physical data from the patient data. The physical data is applied to a blood flow model of the aorta to obtain an individual blood flow model. The wall property of the artery is directly or indirectly determined from the individual blood flow model.

Abstract: For therapy response assessment, texture features are input for machine learning a classifier and for using a machine learnt classifier. Rather than or in addition to using formula-based texture features, data driven texture features are derived from training images. Such data driven texture features are independent analysis features, such as features from independent subspace analysis. The texture features may be used to predict the outcome of therapy based on a few number of or even one scan of the patient.

Abstract: A method is disclosed for assigning measurement data of a body of a patient to information data related to the same body. The method includes providing annotated measurement data, providing annotated information data, translating the first group of annotations into a first group of universal annotations and the second group of annotations into a second group of universal medical annotations in a universal annotation ontology management system, comparing the universal annotations of the first group of universal annotations with the universal annotations of the second group of universal annotations, and assigning the universal annotations to each other. An assignment system and a universal annotation ontology management system are also disclosed.

Abstract: Methods and device are disclosed for data retrieval. At first images and reports are analyzed by respective parser units to detect both structures and text passages that are related to respective structures and text passages of a knowledge data-base. The detected structures and text passages are stored together with a unique resource located that identifies the respective structure and/or text passage at the knowledge database in a semantic annotation database. In addition a feature extraction can be performed to provide specific features of the images and/or regions of the images, whereby the features are stored in an image feature database. Finally an input query can ask questions that are used to provide a result to the query based on the semantic annotation database and the image feature database. The methods and devices may be used for data preparation and data retrieval of medical images and associated medical reports.