Abstract: Systems, methods and products for intelligent delivery of communications, where a machine learning engine is trained to identify an output channel for delivery of a communication based on received context information and intended recipient information and to route the communication to the selected channel. An intelligent delivery task in a communication flow model is performed by the machine learning engine, which receives customer/recipient data such as age, region, gender, etc., and context data such as communication type, time of day, working hours, etc., and uses this data to determine which of a set of different channels is likely to be most effecting for sending the communication to the recipient. A user therefore does not have to build a complex static communication flow, but simply adds an intelligent delivery task to the flow. The output channel is dynamically selected and may vary for different recipients and communications.

Abstract: Systems, methods and products for intelligent delivery of communications, where a machine learning engine is trained to identify an output channel for delivery of a communication based on received context information and intended recipient information and to route the communication to the selected channel. An intelligent delivery task in a communication flow model is performed by the machine learning engine, which receives customer/recipient data such as age, region, gender, etc., and context data such as communication type, time of day, working hours, etc., and uses this data to determine which of a set of different channels is likely to be most effecting for sending the communication to the recipient. A user therefore does not have to build a complex static communication flow, but simply adds an intelligent delivery task to the flow. The output channel is dynamically selected and may vary for different recipients and communications.

Abstract: A method for manufacturing at least one micromechanical device includes: providing a first and a separate second substrate, each having two surfaces spaced parallel to each other with a predetermined thickness; patterning a first trench structure into one of the two surfaces of the first substrate, and a second trench structure into one of the two surfaces of the second substrate; arranging the patterned surfaces of the two substrates with respect to each other such that a substrate stack with an upper and a lower surface is defined and the first and/or second trench structure forms at least one cavity therein; thinning the substrate stack from its upper and/or lower surface; exposing the at least one cavity by patterning a recess into the upper and/or lower surface of the substrate stack, wherein exposing the at least one cavity is performed after arranging the two substrates into the substrate stack. Further embodiments relate to a valve manufactured by means of the method and to a micromechanical pump.

Abstract: Systems, methods and products for intelligent delivery of communications, where a machine learning engine is trained to identify an output channel for delivery of a communication based on received context information and intended recipient information and to route the communication to the selected channel. An intelligent delivery task in a communication flow model is performed by the machine learning engine, which receives customer/recipient data such as age, region, gender, etc., and context data such as communication type, time of day, working hours, etc., and uses this data to determine which of a set of different channels is likely to be most effecting for sending the communication to the recipient. A user therefore does not have to build a complex static communication flow, but simply adds an intelligent delivery task to the flow. The output channel is dynamically selected and may vary for different recipients and communications.

Abstract: A method for detecting a distortion of a light pattern defining a code word includes projecting a light pattern onto an object via a light source and detecting the projected light pattern and comparing the detected light pattern with a reference light pattern. The reference light pattern has individual, spaced-apart light pattern elements arranged in a plurality of successive columns in the direction of a first extension axis and the number and/or position of the at least one light pattern element in each column of the reference light pattern is an encoding feature that defines at least one code word. The distortion of the detected light pattern with respect to the reference light pattern is determined by comparing distances between the light pattern elements of the detected light pattern with distances between the light pattern elements of the reference light pattern.

Abstract: The inventive concept described herein concerns a microfluidic component, comprising a membrane actuator with a membrane element and an actuator element for deflecting the membrane element. A signal generation device is configured to generate an electric control signal having a time-variant signal curve for controlling the membrane actuator, by which the actuator element actuates the membrane element. A signal processing device is configured to detect, during operation of the microfluidic component, an influence on the temporal signal curve of the control signal, caused by one or more external influencing factors, and, on the basis of this influence on the temporal signal curve, to identify and/or classify at least one causal external influencing factor.

Abstract: Systems, methods and products for intelligent delivery of communications, where a machine learning engine is trained to identify an output channel for delivery of a communication based on received context information and intended recipient information and to route the communication to the selected channel. An intelligent delivery task in a communication flow model is performed by the machine learning engine, which receives customer/recipient data such as age, region, gender, etc., and context data such as communication type, time of day, working hours, etc., and uses this data to determine which of a set of different channels is likely to be most effecting for sending the communication to the recipient. A user therefore does not have to build a complex static communication flow, but simply adds an intelligent delivery task to the flow. The output channel is dynamically selected and may vary for different recipients and communications.

Abstract: Systems, methods and products for intelligent delivery of communications, where a machine learning engine is trained to identify an output channel for delivery of a communication based on received context information and intended recipient information and to route the communication to the selected channel. An intelligent delivery task in a communication flow model is performed by the machine learning engine, which receives customer/recipient data such as age, region, gender, etc., and context data such as communication type, time of day, working hours, etc., and uses this data to determine which of a set of different channels is likely to be most effective for sending the communication to the recipient. A user therefore does not have to build a complex static communication flow, but simply adds an intelligent delivery task to the flow. The output channel is dynamically selected and may vary for different recipients and communications.

Abstract: Systems, methods and products for intelligent delivery of communications, where a machine learning engine is trained to identify an output channel for delivery of a communication based on received context information and intended recipient information and to route the communication to the selected channel. An intelligent delivery task in a communication flow model is performed by the machine learning engine, which receives customer/recipient data such as age, region, gender, etc., and context data such as communication type, time of day, working hours, etc., and uses this data to determine which of a set of different channels is likely to be most effecting for sending the communication to the recipient. A user therefore does not have to build a complex static communication flow, but simply adds an intelligent delivery task to the flow. The output channel is dynamically selected and may vary for different recipients and communications.

Abstract: Systems, methods and products for intelligent delivery of communications, where a machine learning engine is trained to identify an output channel for delivery of a communication based on received context information and intended recipient information and to route the communication to the selected channel. An intelligent delivery task in a communication flow model is performed by the machine learning engine, which receives customer/recipient data such as age, region, gender, etc., and context data such as communication type, time of day, working hours, etc., and uses this data to determine which of a set of different channels is likely to be most effecting for sending the communication to the recipient. A user therefore does not have to build a complex static communication flow, but simply adds an intelligent delivery task to the flow. The output channel is dynamically selected and may vary for different recipients and communications.

Abstract: An embodiment is an electrostatic micro-pump including a diaphragm arrangement including a diaphragm and a first electrode structure. The electrostatic micro-pump further includes a valve arrangement, including an inlet check valve and an outlet check valve, wherein the diaphragm arrangement and the valve arrangement at least partially enclose a pump chamber. The electrostatic micro-pump further includes a second electrode structure arranged so as to form an electrostatic drive with the first electrode structure. The electrostatic drive is configured to deflect the diaphragm.

Abstract: A gas detection module includes: a fixed seat, a gas sensor including a detection chamber, and a micro pump. The micro pump includes a pump chamber, a first communication port, and a second communication port. The first and second communication ports are in communication with the pump chamber. The gas sensor and the micro pump are arranged side by side on the fixed seat, the fixed seat is provided with a first and a second fluid port that are both in communication with the outside of the fixed seat, the first fluid port is in communication with the detection chamber, the second fluid port is in communication with the second communication port, a flow channel is further formed on the fixed seat. One end of the flow channel is in communication with the first fluid port, and the other end is in communication with the first communication port.

Abstract: According to an embodiment, a sensor arrangement comprises a first micropump, e.g. a microfluidic or peristaltic pump, having a normally closed (NC) safety valve, e.g. at the micropump output, a second micropump, e.g. microfluidic or peristaltic pump, having a normally closed (NC) safety valve, e.g. at the micropump output, and a sensor having a sensor chamber, e.g. a sensor cavity or sensor volume, with a sensor element, e.g. an active sensitive region or layer, in the sensor chamber, wherein the sensor is configured to provide a sensor output signal based on a condition of the fluid, e.g. a gas or liquid, in the sensor chamber. The sensor chamber of the sensor is fluidically coupled between the first and second micropump, and the first and second micropump are configured to provide a defined operation mode of the sensor arrangement based on the respective activation or operation condition of the first and second micropump for providing (1.) a defined negative fluid pressure in the sensor chamber, (2.

Abstract: Drug delivery system including: a reservoir having a meander shape or spiral shape, the reservoir including an inlet and a filter; a capacitance measurement device configured to determine a parameter of the reservoir; and a micropump configured to deliver a fluid from the reservoir to an outlet.

Abstract: An implant which includes: a housing having a chamber; and a sensor unit; a first membrane covering the chamber at a first pressure side and a second membrane covering the chamber at a second pressure side; the chamber includes a pressure transfer device being in contact to the first and second membrane and to the sensor unit arranged within the chamber between the first and second membrane, wherein a sensor control unit arranged within the housing; wherein the sensor unit is configured to determine a pressure difference between a pressure at the first pressure side of the chamber and a pressure at the second pressure side chamber of the chamber.

Abstract: The invention relates to a combined pump-sensor arrangement having a substrate having a first main surface and an opposite second main surface. A package lid which defines a package having a measuring cavity is arranged on the first main surface of the substrate. Additionally, the pump-sensor arrangement has a micropump having a pump inlet and a pump outlet, the micropump being configured to suck in an analyte fluid present in the measuring cavity through the pump inlet and eject the same to an environment outside the measuring cavity via the pump outlet. Furthermore, the pump-sensor arrangement has a sensor for detecting at least one component of the analyte fluid present within the measuring cavity and movable by means of the micropump. In accordance with the invention, both the sensor and the micropump are commonly arranged on the first main surface of the substrate and within the measuring cavity.

Abstract: A cabin interior arrangement 1 for an aircraft is proposed that comprises a first cabin interior object and a second cabin interior object 3a, b, comprising a power transmitting device 5 for transmitting power from an aircraft electrical system 7, wherein the power transmitting device 5 is arranged on the first cabin interior object 3a, comprising a power receiving device 6 for receiving the power from the power transmitting device 5, wherein the power receiving device 6 is arranged on the second cabin interior object 3b, wherein the power transmitting device 5 and the power receiving device 6 are embodied as a power transfer arrangement 2 for supplying the power to a mobile terminal 4, wherein the power transmitting device 5 and the power receiving device 6 are designed to transfer power over a distance of several centimetres, wherein the power transmitting device 5 and the power receiving device 6 are deigned to set up a wireless and/or cordless supply connection segment 10 between the power transmitting de

Abstract: A free jet dosage system serves for administering a fluid into an eye. The free jet dosage system includes a micropump having an inlet and an outlet, the micropump being configured to transfer the fluid from the inlet to the outlet and to dispense the fluid at the outlet to the eye as a free jet. The free jet dosage system further includes a sensor configured to sense the eye and to controller a control, and a micropump, wherein the controller is configured to activate the micropump as soon as the eye is sensed by the sensor.

Abstract: A method for manufacturing at least one micromechanical device includes: providing a first and a separate second substrate, each having two surfaces spaced parallel to each other with a predetermined thickness; patterning a first trench structure into one of the two surfaces of the first substrate, and a second trench structure into one of the two surfaces of the second substrate; arranging the patterned surfaces of the two substrates with respect to each other such that a substrate stack with an upper and a lower surface is defined and the first and/or second trench structure forms at least one cavity therein; thinning the substrate stack from its upper and/or lower surface; exposing the at least one cavity by patterning a recess into the upper and/or lower surface of the substrate stack, wherein exposing the at least one cavity is performed after arranging the two substrates into the substrate stack. Further embodiments relate to a valve manufactured by means of the method and to a micromechanical pump.

Abstract: A method for detecting a distortion of a light pattern defining a code word includes projecting a light pattern onto an object via a light source and detecting the projected light pattern and comparing the detected light pattern with a reference light pattern. The reference light pattern has individual, spaced-apart light pattern elements arranged in a plurality of successive columns in the direction of a first extension axis and the number and/or position of the at least one light pattern element in each column of the reference light pattern is an encoding feature that defines at least one code word. The distortion of the detected light pattern with respect to the reference light pattern is determined by comparing distances between the light pattern elements of the detected light pattern with distances between the light pattern elements of the reference light pattern.