Abstract: An image intensifier device includes: an intensifier tube with at least one photocathode, a micro-channel plate and a conversion element, arranged in that order one after another, and an electric power supply module configured to supply at least one respective polarisation voltage to each of the elements of the intensifier tube. The electric power supply module extends in a region located upstream of the photocathode, on the side of the photocathode opposite to the micro-channel plate. Thus, a space is cleared located downstream of the intensifier tube in the direction of travel of the photons and of the electrons in the image intensifier device. This allows reducing the size of the image intensifier device for example by bringing an eyepiece closer.

Abstract: A cold rolled and annealed steel sheet is provided which includes by weight: 0.6<C<1.3%, 15?Mn<35%, 6.0?Al<15%, Si?2.40%, S?0.015%, P?0.1%, N?0.1%, possibly one or more optional elements chosen among Ni, Cr and Cu in an individual amount of up to 3% and possibly one or more elements chosen among B, Ta, Zr, Nb, V, Ti, Mo, and W in a cumulated amount of up to 2.0%, the remainder of the composition making up of iron and inevitable impurities resulting from the elaboration, the microstructure of said sheet comprising at least 0.1% of intragranular kappa carbides, wherein at least 80% of such kappa carbides have an average size below 30 nm, optionally up to 10% of granular ferrite, the remainder being made of austenite, the average grain size and average aspect ratio of the austenite being respectively below 6 ?m and comprised between 2 and 10 and the average grain size and average aspect ratio of the ferrite, when present, being respectively below 5 ?m and below 3.

Abstract: An image intensifier device includes: an intensifier tube with at least one photocathode, a micro-channel plate and a conversion element, arranged in that order one after another, and an electric power supply module configured to supply at least one respective polarisation voltage to each of the elements of the intensifier tube. The electric power supply module extends in a region located upstream of the photocathode, on the side of the photocathode opposite to the micro-channel plate. Thus, a space is cleared located downstream of the intensifier tube in the direction of travel of the photons and of the electrons in the image intensifier device. This allows reducing the size of the image intensifier device for example by bringing an eyepiece closer.

Abstract: A modular electric power converter includes a plurality of power converter modules, each module comprising a cell of a Modular Multilevel Converter, MMC, to provide a controlled ac output.

Abstract: Devices, systems and processes for an integrated internal and external camera system that enhances the passenger experience in vehicles are described. One example method for enhancing a passenger experiences includes capturing a first set of images of an area around the vehicle using an external camera system, capturing a second set of images of one or more passengers inside the vehicle using an internal camera system, recognizing at least one gesture made by the one or more passengers based on the second set of images, identifying an object or a location external to the vehicle based on the first set of images and the at least one gesture, and displaying information related to the object or the location to the one or more passengers.

Abstract: Disclosed herein are systems, devices, and processes for gesture detection. A method includes capturing a series of images. The method includes generating motion isolation information based on the series of images. The method includes generating a composite image based on the motion isolation information. The method includes determining a gesture based on the composite image. The processes described herein may include the use of convolutional neural networks on a series of time-related images to perform gesture detection on embedded systems or devices.

Abstract: Vehicle sensing and control systems are provided. The vehicle sensing and control systems may use various sensors to capture sensor data from and interior of the vehicle and/or the exterior of the vehicle. The sensor data from the interior of the vehicle may be used to detect interactions by the user. The sensor data from the exterior of the vehicle may be used to detect items of interest for the occupants of the vehicle based further on the sensor data from the interior of the vehicle.

Abstract: Seat mounting assemblies and vehicle seat systems which include the same are provided whereby a pivot bracket is operatively connected to a mounting bracket for reciprocal vertical movements while a tubular support member is operatively be associated with the pivot bracket so as to be pivotally movable about a substantially vertical central axis of the pivot bracket. A cantilevered support base arm is fixed to and extends outwardly from the tubular support member. An arm member is telescopically connected to the cantilevered support base arm to allow reciprocal rectilinear movements relative to the support base arm along a substantially horizontal axis thereof between retracted and extended positions thereof and carries a swivel plate at a distal end thereof to thereby allow swivel movements of a vehicle seat about a substantially vertical seat axis parallel to the substantially vertical central axis of the pivot bracket.

Abstract: Systems and methods are disclosed for applying neural networks in resource-constrained environments. A system may include a sensor located in a resource-constrained environment configured to generate sensor data of the resource-constrained environment. The system may also include a first computing device not located in the resource-constrained environment configured to produce a neural network structure based on the sensor data. The system may further include a second computing device located in the resource-constrained environment configured to provide the sensor data as input to the neural network structure. The second computing device may be further configured to determine a state of the resource-constrained environment based on the input of the sensor data to the neural network structure.

Abstract: Systems and methods are disclosed for applying neural networks in resource-constrained environments. A system may include a sensor located in a resource-constrained environment configured to generate sensor data of the resource-constrained environment. The system may also include a first computing device not located in the resource-constrained environment configured to produce a neural network structure based on the sensor data. The system may further include a second computing device located in the resource-constrained environment configured to provide the sensor data as input to the neural network structure. The second computing device may be further configured to determine a state of the resource-constrained environment based on the input of the sensor data to the neural network structure.

Abstract: Systems and methods are disclosed for applying neural networks in resource-constrained environments. A system may include a sensor located in a resource-constrained environment configured to generate first sensor data and second sensor data of the resource-constrained environment. The system may also include a first computing device not located in the resource-constrained environment configured to produce a neural network structure based on the first sensor data. The system may also include a second computing device configured to determine a state of the resource-constrained environment based on input of the second sensor data to the neural network structure. The system may also include a controller located in the resource-constrained environment configured to control a device in the resource-constrained environment based on the state of the resource-constrained environment determined by the second computing device.

Abstract: Systems and methods are disclosed for applying neural networks in resource-constrained environments. A system may include a sensor located in a resource-constrained environment configured to generate first sensor data and second sensor data of the resource-constrained environment. The system may also include a first computing device not located in the resource-constrained environment configured to produce a neural network structure based on the first sensor data. The system may also include a second computing device configured to determine a state of the resource-constrained environment based on input of the second sensor data to the neural network structure. The system may also include a controller located in the resource-constrained environment configured to control a device in the resource-constrained environment based on the state of the resource-constrained environment determined by the second computing device.

Abstract: Disclosed herein are systems, devices, and processes for gesture detection. A method includes capturing a series of images. The method includes generating motion isolation information based on the series of images. The method includes generating a composite image based on the motion isolation information. The method includes determining a gesture based on the composite image. The processes described herein may include the use of convolutional neural networks on a series of time-related images to perform gesture detection on embedded systems or devices.

Abstract: A graphene product obtained from Graphene Nanofibers (GNFs), having a modified crystal structure and a defined size distribution. The product is non toxic and has useful biological properties such as modification of the adipocytes phenotype. The product can be used in cosmetics.

Abstract: Disclosed herein are systems, devices, and processes for gesture detection. A method includes capturing a series of images. The method includes generating motion isolation information based on the series of images. The method includes generating a composite image based on the motion isolation information. The method includes determining a gesture based on the composite image. The processes described herein may include the use of convolutional neural networks on a series of time-related images to perform gesture detection on embedded systems or devices.

Abstract: A graphene product obtained from Graphene Nanofibers (GNFs), having a modified crystal structure and a defined size distribution. The product is non-toxic and has useful biological properties such as wound healing and improving skin appearance. The product can be used in therapy.

Abstract: Disclosed herein are systems, devices, and processes for gesture detection. A method includes capturing a series of images. The method includes generating motion isolation information based on the series of images. The method includes generating a composite image based on the motion isolation information. The method includes determining a gesture based on the composite image. The processes described herein may include the use of convolutional neural networks on a series of time-related images to perform gesture detection on embedded systems or devices.

Abstract: Devices, systems and processes for an integrated internal and external camera system that enhances the passenger experience in vehicles are described. One example method for enhancing a passenger experiences includes capturing a first set of images of an area around the vehicle using an external camera system, capturing a second set of images of one or more passengers inside the vehicle using an internal camera system, recognizing at least one gesture made by the one or more passengers based on the second set of images, identifying an object or a location external to the vehicle based on the first set of images and the at least one gesture, and displaying information related to the object or the location to the one or more passengers.

Abstract: Systems and methods for additive manufacturing a homogeneous optical element are disclosed herein. A homogeneous pattern of light is shined on a polymerizable liquid to form each polymerized solid layer of the optical element.

Abstract: Systems and methods are disclosed for applying neural networks in resource-constrained environments. A system may include a sensor located in a resource-constrained environment configured to generate first sensor data and second sensor data of the resource-constrained environment. The system may also include a first computing device not located in the resource-constrained environment configured to produce a neural network structure based on the first sensor data. The system may also include a second computing device configured to determine a state of the resource-constrained environment based on input of the second sensor data to the neural network structure. The system may also include a controller located in the resource-constrained environment configured to control a device in the resource-constrained environment based on the state of the resource-constrained environment determined by the second computing device.