Abstract: A seal assembly including: a collar having an opening configured to receive a rotatable shaft, an annular member having an annular opening configured to receive the collar, and first and second end plates fixedly coupled to a respective one of the first and second end surfaces of the collar. An outer surface of the collar includes one or more helical threads. The collar has a first axial length defined between first and second end surfaces of the collar, and the annular member has a second axial length defined between first and second end surfaces of the annular member, in which the second axial length is less than the first axial length. Also provided are an assembly comprising a seal assembly in accordance with the present disclosure and a method for preventing contamination of a sealed chamber.

Abstract: A system includes a PTO device that selectively couples to a driveline of a vehicle, a motor/generator electrically coupled to an electrical power storage system, and a shared load selectively powered by one of the driveline or the motor/generator. The PTO device further includes a coupling actuator that couples the shared load to the motor/generator at a first selected ratio in a first position, and couples the shared load to the driveline at a second selected ratio in a second position.

Abstract: A method of determining a relationship between a stochastic variation of a characteristic of an aerial image or a resist image and one or more design variables, the method including: measuring values of the characteristic from a plurality of aerial images and/or resist images for each of a plurality of sets of values of the design variables; determining a value of the stochastic variation, for each of the plurality of sets of values of the design variables, from a distribution of the values of the characteristic for that set of values of the design variables; and determining the relationship by fitting one or more parameters from the values of the stochastic variation and the plurality of sets of values of the design variables.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for integrating one or more light switch panels into a monitoring system. The methods, systems, and apparatus include actions of determining to communicate a non-traditional file to a z-wave capable device, communicate a first data packet to the z-wave capable device, based on communicating the first data packet to the z-wave capable device, alter a schedule command class payload of a second data packet to include a first portion of the non-traditional file, alter a schedule command class payload of a third data packet to include a second portion of the non-traditional file, and alter a schedule command class payload of a fourth data packet to include a third portion of the non-traditional file, and communicate, to the z-wave capable device, the altered second data packet, the altered third data packet, and the altered fourth data packet.

Abstract: The present disclosure relates to pouches made from a combination of chemically different water-soluble films and containing household care compositions that are at least partially enclosed by the water-soluble films in at least one compartment.

Abstract: A mobile tower for transportation to and rapid deployment at remote sites where the mobile tower can be engaged with the ground, the mobile tower including an extendable and retractable tower secured to a mobile support structure including a frame having a plurality of rapidly deployable outriggers, wherein the tower includes three series of pivotally interconnected tower sections or segments, sections or segments of which engage with segments of each of the other series when the tower is assembled; the mobile tower including a plurality of guy wires secured between the extendable and retractable tower and the respective outriggers to stabilize the tower after the tower is assembled. The guy wires are preferably secured to the extendable and retractable tower at first and second connecting positions that are displaced from one another about an outer perimeter. Methods of deploying the mobile tower are also disclosed.

Abstract: A filter and kit assembly for securing to one or more intake surfaces associated with a V-shaped heat exchanger unit. A screen includes a reinforced edge, within which is configured a plurality of spaced apart grommets aligning with and receiving therethrough engaging portions of the fasteners. In one variant, a frame is constructed for supporting the fasteners and attached filter and which is subsequently secured by clips against a flange surface surrounding the intake opening. In a further variant, the screen is configured in wrap-around fashion for supporting against first and second consecutively arranged intake openings along with an interconnecting intermediate flange surface.

Abstract: A method for the manufacture of a fiber-composite article for a bicycle frame or other bicycle component uses an outer mold configured to define an outer surface of the fiber-composite article and an inner mold configured to define an inner surface of the fiber-composite article. The method comprises: securing in the inner mold a supportive armature for a space-filling mandrel, the mandrel being configured to occupy a space within the inner surface of the fiber-composite article during lay up and curing of the fiber-composite article; forming the mandrel by injection molding a solidifiable fluid into the inner mold, around the armature, the solidifiable fluid being configured to form a solidified, molded material; applying a fiber composition to the mandrel; securing the mandrel with the fiber composition in the outer mold; heating the fiber composition in the outer mold to form the fiber-composite article and concurrently heating the solidified, molded material.

Abstract: An image processing apparatus for estimating a depth field over a field of view. The apparatus comprises one or more processors configured to receive a captured polarisation image representing a polarisation of light received at a first set of multiple locations over the field of view; process the captured polarisation image using a first trained neural network to form a first estimate of depths to one or more locations over the field of view; receive ranging data representing environmental distances from a datum to one or more locations over the field of view; and process the ranging data using a second trained neural network to form a second estimate of depths to a second set of multiple locations over the field of view.

Abstract: A container system including a closeable container with at least one pouch in an interior space of the container, where the pouch includes a water-soluble film including a polyvinyl alcohol (PVOH) resin blend, and a perfume and organic solvent containing household care composition at least partially enclosed in a compartment by the water-soluble film.

Abstract: A security assessment scheduling tool uses a configuration file that is configurable via a user interface, to specify one or more elements of an application to be analyzed during the scoping process. Further, the security assessment scheduling tool may automatically schedule assessments for large numbers of applications using one or more constraining optimization techniques and/or via modeling the scheduling problem as an RCPSP problem. The security assessment scheduling tool processes the RCPSP problem for a defined period of time and then schedules remaining unscheduled applications within a specified time period thereby allowing the security assessment scheduling tool to schedule assessments of tens of thousands of applications.

Abstract: A mobile tower for transportation to and rapid deployment at remote sites where the mobile tower can be engaged with the ground, the mobile tower including an extendable and retractable tower secured to a mobile support structure including a frame having a plurality of rapidly deployable outriggers, wherein the tower includes three series of pivotally interconnected tower sections or segments, sections or segments of which engage with segments of each of the other series when the tower is assembled; the mobile tower including a plurality of guy wires secured between the extendable and retractable tower and the respective outriggers to stabilize the tower after the tower is assembled. The guy wires are preferably secured to the extendable and retractable tower at first and second connecting positions that are displaced from one another about an outer perimeter. Methods of deploying the mobile tower are also disclosed.

Abstract: Methods and switches are provided for communicating electronic messages between financial institutions. One example method includes receiving, at a first switch of a plurality of switches, an electronic message for a transaction, where the electronic message includes a unique identifier for the transaction, and identifying, by the first switch, one of the plurality of switches to process the electronic message based on the unique identifier. The method also includes, in response to the first switch being the identified one of the plurality of switches, processing, by the first switch, the electronic message and, in response to a second switch of the plurality of switches being the identified one of the plurality of switches, forwarding, by the first switch, the electronic message to the second switch for processing.

Abstract: A laundry detergent composition containing an ethylene oxide-propylene oxide-ethylene oxide (EO/PO/EO) triblock copolymer and a lipase enzyme and use of an ethylene oxide-propylene oxide-ethylene oxide (EO/PO/EO) triblock copolymer and lipase enzyme in the laundry detergent composition.

Abstract: A computer system and method are provided for training a machine learning system to perform a classification task by classifying input data into one of a plurality of classes. The system is configured to: receive per class training data from which per class representations can be derived, wherein each class is described by multiple representations; process the training data to form, for at least one class, a first proxy for a relatively global portion of an item of training data and multiple proxies for distinct relatively local portions of the item of training data, each proxy corresponding to a representation of the data belonging to that class.

Abstract: A device for categorising regions in images is disclosed. The device comprising: an input for receiving a first set of images, and defining one or more regions of for each image of the first set of images and a categorisation for the one or more regions, and a second set of images, and a categorisation for each image of the second set; and a processor configured to train a first machine learning algorithm to categorise features in images by: processing the images of the first and second set using the first algorithm to estimate feature regions in the images and a categorisation for each of the feature regions, and training the first algorithm in dependence on the categorisations received for the images of the first and second sets.

Abstract: An image processing apparatus and a method are provided. The apparatus comprises a plurality of processing modules configured to operate in series to refine a raw image captured by a camera, the modules comprising a first module and a second module, each of which independently implements a respective trained artificial intelligence model, wherein: the first module implements an image transformation operation that performs an operation from the set comprising: (i) an essentially pixel-level operation that increases sharpness of an image input to the module, (ii) an essentially pixel-level operation that decreases sharpness of an image input to the module, (iii) an essentially pixel-block-level operation on an image input to the module; and the second module as a whole implements a different operation from the said set.

Abstract: An approach is provided in which the approach generates anomaly score variables using multiple unsupervised models based on a set of data records. The approach normalizes the anomaly score variables into multiple normalized variables, and constructs at least one interaction based on a first one of the normalized variables and a second one of the normalized variables. The first normalized variable corresponds to a first one of the anomaly score variables and the second normalized variable corresponds to a second one of the anomaly score variables. The approach detects a set of anomalies based on the at least one interaction and transmits the set of anomalies to a user.

Abstract: A computer implemented method for machine learning model training. A number of processor units creates a cluster model comprising labeled samples and unlabeled samples. The number of processor units identifies cluster information for the labeled samples from the cluster model. The number of processor units adds a set of new features to a set of original features for the labeled samples using the cluster information to form an extended set of features for the labeled samples, wherein the labeled samples with the set of original features and the set of new features form a training data set for training a machine learning model.

Abstract: A method includes training a plurality of different types of machine learning models using a training dataset to produce a set of trained machine learning models and determining a lift of each trained machine learning model in the set of trained machine learning models using a validation dataset. The method also includes selecting a trained machine learning model from the set of trained machine learning models that has a highest lift of the set of trained machine learning models and predicting a likelihood that a person will perform an action by applying the selected trained machine learning model to data about the person.