Abstract: A system includes an Industrial facility having a first memory storing first machine-executable components and a first processor coupled to the first memory and designed to execute the first machine-executable components. The first machine-executable components include a cloud connectivity component, a second memory residing at a cloud platform and coupled to a second processor storing second machine-executable components and is designed to execute the second machine-executable components which include a management component. The management component belongs to an entity that produces Industrial devices residing at the industrial facility. During an Interaction with the cloud connectivity component, the management component defines an allowed installation context and authorizes installation of a computer program on the Industrial devices only within the scope of the allowed installation context, wherein the interaction excludes sending the computer program to the management component.

Abstract: An integrating model for a technical system composed of at least one of a machine, a component of a machine, and a technical process includes a machine-machine interface, and a plurality of individual models having each assigned a raw model and a data pre-processing, wherein different individual models model different parts of the technical system and have different raw models and a different data pre-processing, and wherein at least one of the individual models is interchangeable for a part of the technical system.

Abstract: A method for resource management includes: providing a representation of a set of resources; obtaining a set of use requests, wherein a use request can be fulfilled by allocating a resource to the use request; wherein the resources are categorized into resource classes, so that resources in a resource class are interchangeable with respect to fulfilling a use request; wherein a use request can be fulfilled for a specific use period requested by the use request, by allocating a resource to a resource class requested by the use request; wherein a target distribution of resources for use requests is determined on the basis of an optimization parameterization; wherein the optimization parameterization is based on weightings of allocations of resources to use requests; wherein, further, to determine the target distribution, a starting solution is created that represents a distribution of resources for use requests, is provided.

Abstract: System for performance-based design space composition in engineering systems includes design configuration module, explainable recommendation module and user interface module. A list of one or more system configurations is generated, each system configuration having a unique set of components that satisfy system goals and system requirements. For each system configuration, system performance values are determined based on performance enabled by each system component. A design dashboard presents the system configurations in rank order and the system performance value for each of the system configuration components.

Abstract: Provided is a method for computer-implemented determination of a data-driven prediction model. The method processes digital input data having input and output variables and being semantically annotated based on a digital semantic representation having a hierarchical tree structure where each tree in the structure represents an input variable of the data, the leaf nodes of the respective tree being the discrete values of the input variable. The method of the embodiment provides a recoding of those discrete values by cutting off hierarchical levels of the respective trees. Based on this recoding, a plurality of data modifications is determined for the input data. Those data modifications are trained by a machine learning method where the trained machine learning method with the highest prediction quality is derived from the trained machine learning methods.

Abstract: Provided is a method for performing entity linking between a surface entity mention in a surface text and entities of a knowledge graph, including supplying the surface text to a contextual text representation model, pooling contextual representations of the tokens of a surface entity mention in the surface text with contextual representations of the other tokens within the surface text to provide a contextual entity representation vector representing the surface entity mention; supplying an identifier of a candidate knowledge graph entity to a knowledge graph embedding model, to provide an entity node embedding vector and combining the contextual entity representation vector with the entity node embedding vector to generate an input vector applied to a fully connected layer which provides an unnormalized output transformed by a softmax function into a normalized output processed to classify whether the surface entity mention corresponds to the candidate knowledge graph entity.

Abstract: Provided are methods and apparatuses for hardening a communication device, which methods and apparatuses make it possible to identify a use of at least one port, by which port a request is submitted to the communication device by a message, and to output a signal for blocking the at least one port if, after a specifiable time period, either the use of the port in question is detected as low or no use of the port in question is detected. Embodiments can be used to harden communication devices in a production line, in a hospital and/or in a power supply network.

Abstract: In order to control at least partially automated vehicles in a road danger zone, in particular road junctions in road traffic, in such a way that the vehicles can pass through the road danger zone in flowing traffic without stop/start interruptions, such as those caused e.g. by signalling equipment, traffic lights, the following proposes the following steps: a) each vehicle of the vehicles, on approaching the road danger zone, surrender the power to control the dynamic driving tasks of the vehicle in order to pass through said zone, b) when the vehicles have surrendered vehicle control power, a central control entity generates a digital road danger zone twin, and, as a result of the vehicles having surrendered vehicle control power, vehicle movements of the vehicle are automatically and dynamically controlled in a vehicle-coordinated and collision-free manner in order to pass through the road danger zone.

Abstract: Disclosed is a method for monitoring the operation of a drive component. In order to minimize additional hardware complexity, the monitoring method is cared out by a coil that is integrated in a mobile terminal by acquiring an electromagnetic variable of the drive component outside a housing of the drive component by the integrated coil, determining at least one first frequency based on the acquired electromagnetic variable, and determining a first status variable of the drive component from the at least one first frequency.

Abstract: Various embodiments of the teachings herein include a computer-aided method for transforming data in a relational database, containing sensor measurements, into RDF data blocks of a graph database. The method may include: providing a R2RML mapping file; breaking down and converting the data using the mapping file and a first mapping parser; generating a generation of RDF data blocks; and storing the generation as a database. After the data have been broken down and converted, checking a quality of the obtained R2RML mapping and creating a second R2RML mapping file, on the basis of which the relational data are broken down and converted into RDF data blocks. The second R2RML mapping, during the preparation of the relational data into RDF data blocks, automatically stops the processing of relational data that are not to be resolved and thus optimizes the energy efficiency of the preparation.

Abstract: Assistance apparatus for automatically identifying failure types of a technical system is provided including at least one processor configured to determine for each sensor data a set of specific temporal courses of first time series of the sensor data of the sensor and assign a symbolic representation to each of the different specific temporal courses, provide at least one failure pattern, obtain more than one monitored time series of sensor data of the technical system, each of them divided into a sequence of time segments, and automatically assign to each time segment a symbolic representations according to the temporal course of the sensor data in the time segment, calculate a similarity measure for the set of symbolic representations of a selected time interval, determine a ranking of the failure pattern depending on decreasing values of the calculated similarity measure, and output the ranking.

Abstract: Various embodiments of the teachings herein include a method for ascertaining an evaluation BEW of a data set DS made available to a client by a data source in a data packet D. The method may include: analyzing the data packet D using the client to determine a group GCHAR of characteristics CHAR_i, where i=1, . . . , n and where n?1, typical of the data packet DS; and ascertaining the evaluation BEW of the data set on the basis of the determined characteristic CHAR1, CHAR2 with the aid of already available information.

Abstract: Various embodiments include a driver circuit for controlling a semiconductor switch. Some circuits include: a contact for connection to a control terminal of the semiconductor switch; and a device to carry out a measurement of a value dependent on the level of the current flowing through the semiconductor switch, in the course of a switch-off process of the semiconductor switch. The value is either the level of the gate current at a point in time or in a time window after the start of the switch-off process or a timespan from the start of the switch-off process until a definable threshold value of the voltage drop across the semiconductor switch is reached. Depending on the size of the value, the device activates a control measure to reduce the change over time in the current flowing through the semiconductor switch.

Abstract: A production support system for generating a plant bill of process, PBoP, from a product bill of process, PdBoP, for a production plant, a corresponding method and a corresponding computer program product is provided. The production support system includes: (a) a reasoning component for determining possible cells; (b) a selection component for selecting all those cells that address operation capabilities used in the PdBoP; (c) an operation capabilities identifying component for identifying, additional operation capabilities for the selected cells which include at least two production entities, PET, based on the operation capabilities of the individual production entities, PET; and (d) a PBoP generating component for generating the PBoP from the PdBoP using the additional operation capabilities identified by the operations identifying component.

Abstract: An autonomous system used for a production process includes a device configured to manipulate workpieces according to production process tasks. A device controller generates world model of the autonomous system to include data objects representing respective physical objects in the production process, such as workspace, workpieces, and the device. Semantic markers attached to the data objects include information related to a skill to accomplish a task objective. Semantic markers may be activated or deactivated depending on whether the physical object is currently available for a task performance. The device is controlled to perform tasks guided by the semantic markers while relying on an anticipation function with reasoning operations based on types of physical objects, types of skills, and configuration of the data objects.

Abstract: A business process is enacted in a production facility employing a computer managed manufacturing execution system or manufacturing operation management system. The MES/MOM systems operate in an event-driven environment based on handlers orchestrated by events. The method includes: providing and parsing a business process model; creating precompiled, closed source command handlers and event handlers; creating entities of a work process model in an operational domain of the system; and, based on the work process model, running a work process, instancing the business process, by using the precompiled, closed source command handlers and event handlers, the command handlers working on tokens that are differentiated for the different types of elements, are created by the command handlers for each element in a run provided for by the enactment and, for each element, are differentiated according to whether the run to which the token belongs is actually executed or skipped.

Abstract: Systems, devices, and methods of execution one or more tasks in an Internet-of-Things (IoT) environment are disclosed herein. An exemplary method includes determining an event associated with overloading of a first sensor node in the IoT environment based on resources available in real-time on the first sensor node, wherein the event is determined based on number of tasks pending for execution at the first sensor node. Further, the method includes identifying the one or more tasks executable by a second sensor node. Furthermore, the method includes establishing communication with the second sensor node in the IoT environment and assigning the one or more tasks to the second sensor node such that the second sensor node executes the one or more tasks.

Abstract: Various embodiments of the teachings herein include an image processing system comprising: a video stream processing device configured to receive a video stream, segment the video stream into multiple frames of pictures arranged in chronological order, and distribute the multiple frames of pictures to edge computing devices in a connected edge computing device group; and a picture collecting device configured to receive pictures from the edge computing device group. The individual edge computing devices in the edge computing device group are each configured to subject the received pictures to target identification, and send the pictures marked with a region in which an identified target is located. The picture collecting device is further configured to restore in chronological order as a video stream the received pictures marked with target identification results.

Abstract: A commutation cell for a flying capacitor module, to a flying capacitor module having the commutation cell and to a multi-level converter having the flying capacitor module is disclosed. The commutation cell includes a circuit board, two semiconductors mounted either on the same side or on opposite sides of the circuit board, four capacitors arranged in pairs on opposite sides of the circuit board, and flying capacitors connected to the input and output sides of the commutation cell, respectively. The capacitors located on opposite sides are connected to one another by way of via holes. Different commutation paths between the various capacitors extend on the first side and on the second side of the circuit board and along the vias, with currents flowing through the respective adjacent capacitors in opposing directions for an overall reduction in the parasitic inductances.

Abstract: In an embodiment, a current sensor unit includes: a rectification module, to convert an AC current to a pulsed DC current; a conversion module containing an energy storage element, to store energy based upon the pulsed DC current during a charging mode and generate a power supply current; a switching module, bypassed by the conversion module during the charging mode, and bypassing the conversion module during an energy release mode; a current sensor module, to detect a pulsed DC current; a control module, to acquire electrical energy from the power supply current, determine operation in the charging mode or energy release mode, and acquire a first detection value provided by the current sensor module; and a self-calibration module, to generate a current flowing through the current sensor module in a self-calibration process, the control module calibrating the first detection value based upon a second detection value of the current generated.