Sonnenberg Harrison Partnerschaft mbB

A method for calibrating a state of charge (SOC) and/or resetting a predicted state of charge (SOC) of an energy source unit during a charge or discharge event is described. The energy source unit comprises at least two sub-units. The method comprises the following steps: providing a SOC of at least one of the at least two sub-units, during a charge or discharge event, selectively charging or discharging the at least one of the at least two sub-units until a predefined charging or discharging criterion is met, determining a SOC of the at least one of the at least two sub-units that is reached when the predefined charging or discharging criterion is met, the determined SOC being a reset SOC, resetting the provided SOC of the at least one of the at least two sub-units based on the reset SOC, when the predefined charging or discharging criterion is met, excluding the at least one of the at least two sub-units from the charge or discharge event for which the predefined charging or discharging criterion is met, and charging or discharging at least another one of the at least two sub-units until a predefined SOC is met.

Purpose:To provide an agitator mixer having a high cooling effect.Solution for achieving purpose:The agitator mixer according to the present invention is provided with: an agitation plate F that is attached to a shaft 2 which can reciprocate; a casing 1 that contains the agitation plate; and a cooling means FP10-FP23 for cooling a wall surface 11 of the casing that faces a main surface of the agitation plate, wherein the wall surface in close proximity to at least the cooling means has an area that is perpendicular to the reciprocation direction, and the agitation plate that faces the area is parallel to the area and has a plurality of penetrating holes h created therein.

Ein System zum Analysieren von luftgetragenen Partikeln ist offenbart. Das System umfasst ein Mikroskop (60) mit mindestens einem Objektträger (55), wobei der Objektträger (55) luftgetragene Partikel auf einer Objektträgeroberfläche (56) mit einer Haftschicht (59) aufweist und das Mikroskop (60) eine Bilderfassungskamera (68) zur Aufnahme von Bildern der luftgetragenen Partikel umfasst. Das Mikroskop (60) ist mit einem funktional gekoppelten Rechner (105) mit einem trainierten, bildbasierten KI-Modell (130) zur Auswertung der aufgenommenen Bilder gekoppelt, wobei die Auswertung eine biologisch-morphologische Klassifizierung der erfassten Partikel sowie Informationen über Art und Anzahl der Partikel liefert.

A positioning mechanism for deploying and/or retracting a display unit is described. The positioning mechanism comprises at least one first sliding member, at least one first sliding rail being at least partially curved and configured to support the at least one first sliding member, and a sliding unit configured to be connected to the at least one first sliding member for moving along the at least one first sliding rail. The sliding unit comprises the display unit. The positioning mechanism further comprises an assist mechanism for guiding and/or stabilizing the sliding unit and a belt drive assembly configured to provide a drive belt for driving the sliding unit. The drive belt is arranged along a predefined driving trajectory, and the predefined driving trajectory is at least partially determined by the at least one first sliding rail.

Gehstütze (100) für einen Patienten, aufweisend: einen Griff (102) zum Greifen durch eine Hand des Patienten, einen Korpus (104), an dem der Griff (102) angeordnet ist; und einen Fuß (106), der durch eine Gelenkverbindung (108) mit dem Korpus (104) gekoppelt ist, wobei der Fuß (106) x-förmig ausgebildet ist.

A sensor fabricated from a plurality of layers on a semiconductor wafer is described. The sensor comprises a plurality of sensor elements arranged in stitching blocks, wherein the plurality of stitching blocks comprise a plurality of vertically arranged control lines running from a bottom edge of the stitching block in the direction of an oppositely disposed top edge of the stitching block. One of the plurality of vertically arranged control lines terminates between the bottom edge and the top edge and the other ones of the plurality of vertically arranged control lines run from the bottom edge to the top edge and have a swerve at one of the bottom edge or the top edge, such that ones of the plurality of vertically arranged control lines in a first one of the plurality of stitching blocks connect to a displaced one of the vertical lines in a second abutting one of the plurality of stitching blocks. The plurality of stitching blocks further comprise at least one vertically arranged read-out line running from the bottom edge to the top edge, wherein the at least one vertically arranged read-out line in the first one of the plurality of stitching blocks connects to the at least one vertically arranged read-out line in the second abutting one of the plurality of stitching blocks. The plurality of stitching blocks further comprises a plurality of horizontally arranged control lines, running from a right-hand edge to an oppositely disposed left hand edge and being connected to ones of the plurality of vertically arranged control lines.

What is proposed is a self-organized, semantic-based device network (1000) with at least one device (1002), the at least one device (1002) comprising at least two logic cells (1004, 1006) communicatively connected to one another; the network (1000) comprising: a theme definition module (1010) configured for providing a theme definition (1011) based on a semantic metamodel (1012), the theme definition (1011) comprising an input description of at least one task to be assigned to the device network (1000); execution plan module (1014) configured for generating an execution plan (500) based on the theme definition, the execution plan (500) comprising information about the communication connection of the at least two logic cells (1004, 1006); a transmission module (1016) configured for transmitting one or more messages between the at least two logic cells (1004, 1006) based on the execution plan (500); and a network optimization module (1018) configured for utilizing a network optimization model (1020) for placing at least one of the at least two cells (1004, 1006) in the network to build the self-organized, semantic-based device network (1000).

Zusammenfassung wird geladen …

Zusammenfassung wird geladen …

Zusammenfassung wird geladen …