Abstract: The present invention relates to the compounds of formula (I), wherein the variables are defined as given in the description and claims. The invention further relates to their use and composition.

Abstract: The present invention relates to the compounds of formula (I) wherein the variables are defined as given in the description and claims. The invention further relates to their use and composition.

Abstract: Systems and methods are provided for seismic well tie domain conversion. In one embodiment, a process is provided to integrate well and seismic data for reservoir characterization. System configurations and processes described herein use neural networks to predict sonic well logs in the two way time (TWT) domain from measured well logs in depth, rather than predicting drift function. Embodiments are also directed to systems for reservoir characterization. Domain conversion of data includes receiving input data, preprocessing the data, and training a model to determine a length of an output sequence. The method also includes training the model for conversion of data based on at least one neural network. A sequence length prediction may be output as part of training and to perform modeling/prediction operations. The method also includes outputting the sequence of converted data in a TWT domain and a length of the sequence.

Abstract: The present invention relates to the compounds of formula (I) wherein the variables are defined as given in the description and claims. The invention further relates to their use and composition.

Abstract: The present invention relates to the compounds of formula (I) wherein the variables are defined as given in the description and claims. The invention further relates to their use and composition.

Abstract: The present invention relates to the compounds of formula (I) wherein the variables are defined as given in the description and claims. The invention further relates to their use and composition.

Abstract: The invention relates to the creation and/or use of an inference model that maps between a three-dimensional image data of an intra-oral tissue structure, e.g. shape and size of teeth roots, and a three-dimensional representation of an exposed surface of dental features of the intra-oral tissue structure, e.g. teeth crowns. In particular, the present invention proposes a method for image processing, using an inference model, a computer-readable surface representation of an individual's intra-oral tissue to provide a full three-dimensional representation of the intra-oral tissue. The present invention also proposes a method for creating the inference model.

Abstract: The present invention proposes a technique for selectively recovering features of an original surface (e.g. boundary) representation after the original surface representation has been converted to a digitised image, digitally altered, and a new surface representation generated from the digitally altered digitised image. In particular, this technique involves tracking the portions of the digitised image that are digitally altered and/or not digitally altered, and selectively recovering only the portions of the original surface representation that have not been digitally altered. In this way, the original surface representation can be effectively used as a template to recover accuracy and reintroduce detailed features that would otherwise be lost when converting into image space, but any alterations or manipulations intentionally introduced in the image space are maintained.

Abstract: A method is claimed for automatically transforming sonic well logs from a depth domain to a seismic two-way travel-time domain. The method includes obtaining a training well with a measured sonic well log in the depth domain and a borehole seismic dataset in the depth domain and obtaining an application well with only a measured sonic well log in the depth domain. The method further includes training a network to predict a transformed sonic well log for the training well based, at least in part, on the measured sonic well log and the borehole seismic dataset in the training well, and predicting with the network, the transformed sonic well log in the application well.

Abstract: Various examples of methods and systems are provided for improved predictive analytics. In one example, a method of managing operation of an asset or group of assets of interest includes comparing a generated prediction with one or more prediction range associated with a risk profile assigned to an operational outcome of interest, presenting a notification to an operator in response to the comparison, and incorporating operator-generated input as updated source data for the generation of subsequent predictions. The operator-generated input can comprise an operator-defined selection such as, e.g., acceptance of the notification, or rejection of the notification. The operator-generated input can provide real time or near real time information based upon context-specific knowledge that the operator holds that is substantially independent of historical source data.

Abstract: The invention relates to a cooling system (1) comprising at least: a Stirling heat pump (2) designed to cool an inlet gas (Ge) down to a cryogenic temperature so as to form a cryogenic liquid (L), a primary electric motor (3), intended to put said Stirling heat pump (2) into operation, a primary pump (4) intended to cause said cryogenic liquid (L) to circulate under pressure, and a cooling means (5) intended to cool said primary electric motor (3) with the aid of the cryogenic liquid (L) output by said primary pump (4). The invention is particularly suitable for the production of a cryogenic liquid and the applications thereof.

Abstract: A method is claimed for automatically transforming sonic well logs from a depth domain to a seismic two-way travel-time domain. The method includes obtaining a training well with a measured sonic well log in the depth domain and a borehole seismic dataset in the depth domain and obtaining an application well with only a measured sonic well log in the depth domain. The method further includes training a network to predict a transformed sonic well log for the training well based, at least in part, on the measured sonic well log and the borehole seismic dataset in the training well, and predicting with the network, the transformed sonic well log in the application well.

Abstract: A portable bed system comprising a foldable light tubular frame, a foldable shock absorbing molded hollow polymer body containing apposing edges, a foldable squishy foam mattress; when in a folded configuration for stowing, the bed reduces in size, resists shock and the opposing edges seal preventing liquid, insects or dust from entering through its body into the mattress thus overcoming other temporary portable bed size, durability and hygiene limitations.

Abstract: Systems and methods are provided for seismic well tie domain conversion. In one embodiment, a process is provided to integrate well and seismic data for reservoir characterization. System configurations and processes described herein use neural networks to predict sonic well logs in the two way time (TWT) domain from measured well logs in depth, rather than predicting drift function. Embodiments are also directed to systems for reservoir characterization. Domain conversion of data includes receiving input data, preprocessing the data, and training a model to determine a length of an output sequence. The method also includes training the model for conversion of data based on at least one neural network. A sequence length prediction may be output as part of training and to perform modeling/prediction operations. The method also includes outputting sequence length in a TWT domain and output of transformed data.

Abstract: A computer implemented method generates a Petri Net simulation model of an industrial controls system. The method includes providing a basic Petri Net system model employing a generic component model. The system model has at least two component places for generating parameterisation tokens, at least two family places for generating component instantiation tokens, and an architecture place for generating family instantiation tokens for the family place in response to an initial token. The method further includes providing a component family library including component family data, providing a component parameter list including component parameter data for each individual component of the Industrial Control System. Furthermore, the method includes assigning a unique identifier to each component of the component parameter list, assigning each component present in the component parameter list to one component family, and instantiating the basic Petri Net model by processing the component parameter list.

Abstract: A foldable bed system comprised of foldable bottom, middle and top members; the foldable bottom member comprises of a rigid metal frame that contains foldable legs that connect via a pivotal mechanism; the foldable middle member comprises of an impact resistant semi rigid polymer that is connected via the bottom member and contains opposing periphery edges and a sealing membrane that create a sealed cavity when the bed system is folded and locked; the foldable top member comprises of a soft, copious and compression capable foam that disposes and compresses within the sealed cavity of the middle member when the bed system is folded and locked; the impact resistant bed system reduces in size and forms a sealed cavity to protect the top member from water, dust and insects when folded.

Abstract: A form-fill-seal machine and a method for manufacturing and filling a bag (100) having a drawstring tape or cord. The form-fill-seal machine includes a device to guide a film on the machine. A conveying device positions at least one drawstring tape or cord on the film. A folding device folds the film to form a first sheet and a second sheet of the bag. First and second welding jaws weld the first sheet and the second sheet to close two sides of the bag and leave a third side of the bag open. A filling chute fills the bag by the third side of the bag. Third welding jaws close the bag by sealing the third side.

Abstract: A computer-implemented image processing technique for selectively recovering the features of an original CAD model after the original CAD model has been converted to a digitized image and a new CAD model generated from the digitized image. The original boundary representation provides a template to transform the representation through processing under governance of a programmed processor so as to recover accuracy and reintroduce feature edges and feature corners as well as other detailed features to the CAD model obtained from the digitized image, e.g., to enable detailed features to be retained that would otherwise have been lost due to the lossy conversion into image space. The method operates to better ensure that reconstructed boundary vertices lie on original CAD model surfaces and feature edges and corners are recovered.

Abstract: A light bulb includes a light source unit, an optical unit enclosing the light source unit, a chassis unit having an upper chassis part and a lower chassis part releasably fastened to one another a driver unit received within the chassis unit and configured to drive the light source unit, and a base unit engageable with a light bulb socket and coupled to the driver unit. The driver unit, the base unit, the light source unit, and the optical unit are configured for easy and quick independent replacement by a user of the light bulb.

Abstract: Various examples of methods and systems are provided for improved predictive analytics. In one example, a method of managing operation of an asset or group of assets of interest includes comparing a generated prediction with one or more prediction range associated with a risk profile assigned to an operational outcome of interest, presenting a notification to an operator in response to the comparison, and incorporating operator-generated input as updated source data for the generation of subsequent predictions. The operator-generated input can comprise an operator-defined selection such as, e.g., acceptance of the notification, or rejection of the notification. The operator-generated input can provide real time or near real time information based upon context-specific knowledge that the operator holds that is substantially independent of historical source data.