Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for selecting a routing provider that is best suited to deliver each individual message. The message exchange system selects a routing provider based on customer criteria provided by the customer, bids provided by the routing providers and/or performance of the routing providers. The message exchange system ranks the bids based on a ranking value calculated for each bid based on the cost value associated with the bid, the quality score of the associated routing provider and the customer criteria. The message exchange system selects a bid based on the resulting ranking values. For example, the message exchange system selects the bid that is ranked the highest based on the ranking values. The message exchange system then transmits the message to its intended recipient via the routing provider associated with the selected bid.

Abstract: Systems for treating water are disclosed. The system includes an ozonation subsystem including a source of ozone configured to dissolve ozone into water from a source of water to produce ozonated water. The system further includes an electrochemical cell co-located with the ozonation subsystem having an inlet connectable to a source of electrolyte and an outlet. The electrochemical cell is configured to produce hydrogen peroxide from electrolyte from the source of electrolyte. The system additionally includes a mixing zone configured to receive the ozonated water, to receive the hydrogen peroxide from the outlet of the electrochemical cell, and to mix the ozonated water and hydrogen peroxide to form peroxone. Systems and methods of treating water, such as by selectively removing one or more emergent compounds from contaminated water, using the system are also disclosed.

Abstract: A method for forming a memory device is provided. An alternating dielectric stack is formed on a substrate. The alternating dielectric stack includes a dielectric layer pair, and the dielectric layer pair includes a first dielectric layer and a second dielectric layer different from the first dielectric layer. A barrier structure extending vertically through the alternating dielectric stack and laterally separating the alternating dielectric stack into a first portion and a second portion is formed. The barrier structure has an unclosed shape. The first dielectric layer in the second portion of the alternating dielectric stack is replaced with a conductor layer to form an alternating conductor/dielectric stack including the conductor layer and a third dielectric layer. A through array contact structure extending vertically through the first portion of the alternating dielectric stack to the substrate is formed.

Abstract: A floor cleaning machine having an intelligent system including a recovery tank sub-assembly, a vacuum fan sub-assembly, a solution tank sub-assembly, wherein the solution tank sub-assembly preferably includes a secondary electrochemical cell, a solution flow sub-assembly, a control console sub-assembly, a frame and wheel sub-assembly and/or a frame and transaxle sub-assembly, a scrub head sub-assembly, a scrub head lift sub-assembly, a squeegee sub-assembly, a solution flow sub-assembly, and an intelligent system associated with at least one of the above-identified sub-assemblies, wherein the intelligent system at least one of selectively gathers, obtains, monitors, stores, records, and analyzes data associated with components of the floor cleaning machine assembly, and at least one of controllably communicates and disseminates such data with at least one of another system and user.

Abstract: A riding floor cleaning machine having an intelligent system including a main frame sub-assembly, a steering and drive wheel sub-assembly, a solution tank sub-assembly, a recovery tank sub-assembly, a recovery tank cover sub-assembly, a control panel sub-assembly, a main controller sub-assembly, a seat and detergent system sub-assembly, a battery sub-assembly, a scrub head sub-assembly, a scrub head lift sub-assembly, a squeegee sub-assembly, a solution and detergent sub-assembly, and an intelligent system associated with at least one of the above-identified sub-assemblies, wherein the intelligent system selectively gathers, obtains, monitors, stores, records, and/or analyzes data associated with components of the riding floor cleaning machine, and controllably communicates and/or disseminates such data with another system and/or user.

Abstract: A floor cleaning machine having an intelligent system including a recovery tank sub-assembly, a vacuum fan sub-assembly, a solution tank sub-assembly, wherein the solution tank sub-assembly preferably includes a secondary electrochemical cell, a solution flow sub-assembly, a control console sub-assembly, a frame and wheel sub-assembly and/or a frame and transaxle sub-assembly, a scrub head sub-assembly, a scrub head lift sub-assembly, a squeegee sub-assembly, a solution flow sub-assembly, and an intelligent system associated with at least one of the above-identified sub-assemblies, wherein the intelligent system at least one of selectively gathers, obtains, monitors, stores, records, and analyzes data associated with components of the floor cleaning machine assembly, and at least one of controllably communicates and disseminates such data with at least one of another system and user.

Abstract: A floor cleaning machine having an intelligent system including a recovery tank sub-assembly, a vacuum fan sub-assembly, a solution tank sub-assembly, wherein the solution tank sub-assembly preferably includes a secondary electrochemical cell, a solution flow sub-assembly, a control console sub-assembly, a frame and wheel sub-assembly and/or a frame and transaxle sub-assembly, a scrub head sub-assembly, a scrub head lift sub-assembly, a squeegee sub-assembly, a solution flow sub-assembly, and an intelligent system associated with at least one of the above-identified sub-assemblies, wherein the intelligent system at least one of selectively gathers, obtains, monitors, stores, records, and analyzes data associated with components of the floor cleaning machine assembly, and at least one of controllably communicates and disseminates such data with at least one of another system and user.

Abstract: A computer vision system configured for detection and recognition of objects in video and still imagery in a live or historical setting uses a teacher-student object detector training approach to yield a merged student model capable of detecting all of the classes of objects any of the teacher models is trained to detect. Further, training is simplified by providing an iterative training process wherein a relatively small number of images is labeled manually as initial training data, after which an iterated model cooperates with a machine-assisted labeling process and an active learning process where detector model accuracy improves with each iteration, yielding improved computational efficiency. Further, synthetic data is generated by which an object of interest can be placed in a variety of setting sufficient to permit training of models. A user interface guides the operator in the construction of a custom model capable of detecting a new object.

Abstract: An optical communication device may include a driver component, arranged to achieve a driving voltage, and a modulator component, including a laser or arranged to receive light from a laser. The modulator component may be arranged to achieve a modulated light signal modulated based on the driving voltage. The device may include a transmission line arranged to transfer the driving voltage between the driver component and the modulator component. The transmission line may not impedance matched to the driver component, the transmission line may have an impedance which is at least 20% lower than an output impedance of the driver component, and the transmission line may be impedance matched with respect to signal reflections to the modulator component.

Abstract: A floor cleaning machine having an intelligent system including a recovery tank sub-assembly, a vacuum fan sub-assembly, a solution tank sub-assembly, wherein the solution tank sub-assembly preferably includes a secondary electrochemical cell, a solution flow sub-assembly, a control console sub-assembly, a frame and wheel sub-assembly and/or a frame and transaxle sub-assembly, a scrub head sub-assembly, a scrub head lift sub-assembly, a squeegee sub-assembly, a solution flow sub-assembly, and an intelligent system associated with at least one of the above-identified sub-assemblies, wherein the intelligent system at least one of selectively gathers, obtains, monitors, stores, records, and analyzes data associated with components of the floor cleaning machine assembly, and at least one of controllably communicates and disseminates such data with at least one of another system and user.

Abstract: An optical communication device may include a driver component, arranged to achieve a driving voltage, and a modulator component, including a laser or arranged to receive light from a laser. The modulator component may be arranged to achieve a modulated light signal modulated based on the driving voltage. The device may include a transmission line arranged to transfer the driving voltage between the driver component and the modulator component. The transmission line may not impedance matched to the driver component, the transmission line may have an impedance which is at least 20% lower than an output impedance of the driver component, and the transmission line may be impedance matched with respect to signal reflections to the modulator component.

Abstract: A riding floor cleaning machine having an intelligent system including a main frame sub-assembly, a steering and drive wheel sub-assembly, a solution tank sub-assembly, a recovery tank sub-assembly, a recovery tank cover sub-assembly, a control panel sub-assembly, a main controller sub-assembly, a seat and detergent system sub-assembly, a battery sub-assembly, a scrub head sub-assembly, a scrub head lift sub-assembly, a squeegee sub-assembly, a solution and detergent sub-assembly, and an intelligent system associated with at least one of the above-identified sub-assemblies, wherein the intelligent system selectively gathers, obtains, monitors, stores, records, and/or analyzes data associated with components of the riding floor cleaning machine, and controllably communicates and/or disseminates such data with another system and/or user.

Abstract: A computer vision system configured for detection and recognition of objects in video and still imagery in a live or historical setting uses a teacher-student object detector training approach to yield a merged student model capable of detecting all of the classes of objects any of the teacher models is trained to detect. Further, training is simplified by providing an iterative training process wherein a relatively small number of images is labeled manually as initial training data, after which an iterated model cooperates with a machine-assisted labeling process and an active learning process where detector model accuracy improves with each iteration, yielding improved computational efficiency. Further, synthetic data is generated by which an object of interest can be placed in a variety of setting sufficient to permit training of models. A user interface guides the operator in the construction of a custom model capable of detecting a new object.

Abstract: A computer vision system configured for detection and recognition of objects in video and still imagery in a live or historical setting uses a teacher-student object detector training approach to yield a merged student model capable of detecting all of the classes of objects any of the teacher models is trained to detect. Further, training is simplified by providing an iterative training process wherein a relatively small number of images is labeled manually as initial training data, after which an iterated model cooperates with a machine-assisted labeling process and an active learning process where detector model accuracy improves with each iteration, yielding improved computational efficiency. Further, synthetic data is generated by which an object of interest can be placed in a variety of setting sufficient to permit training of models. A user interface guides the operator in the construction of a custom model capable of detecting a new object.

Abstract: A floor cleaning machine having an intelligent system including a recovery tank sub-assembly, a vacuum fan sub-assembly, a solution tank sub-assembly, wherein the solution tank sub-assembly preferably includes a secondary electrochemical cell, a solution flow sub-assembly, a control console sub-assembly, a frame and wheel sub-assembly and/or a frame and transaxle sub-assembly, a scrub head sub-assembly, a scrub head lift sub-assembly, a squeegee sub-assembly, a solution flow sub-assembly, and an intelligent system associated with at least one of the above-identified sub-assemblies, wherein the intelligent system at least one of selectively gathers, obtains, monitors, stores, records, and analyzes data associated with components of the floor cleaning machine assembly, and at least one of controllably communicates and disseminates such data with at least one of another system and user.

Abstract: Methods and apparatus for retargeting and prioritized interpolation of lens profiles. A lens profile file may include a set of lens sub-profiles. The camera body and/or settings described in the file may not exactly match that of camera body and/or settings used to capture a target image. A sub-profile processing module may perform a prioritized sub-profile sorting and interpolation method to generate an interpolated sub-profile that may be applied to the target image to correct aberrations including, but not limited to, geometric distortion, lateral chromatic aberration, and vignette. Thus, models generated for a reference camera at a variety of settings may be applied to a target image captured with the same type of lens but with a different camera and/or with different settings that are not exactly modeled in the lens profile file.

Abstract: A riding floor cleaning machine having an intelligent system including a main frame sub-assembly, a steering and drive wheel sub-assembly, a solution tank sub-assembly, a recovery tank sub-assembly, a recovery tank cover sub-assembly, a control panel sub-assembly, a main controller sub-assembly, a seat and detergent system sub-assembly, a battery sub-assembly, a scrub head sub-assembly, a scrub head lift sub-assembly, a squeegee sub-assembly, a solution and detergent sub-assembly, and an intelligent system associated with at least one of the above-identified sub-assemblies, wherein the intelligent system selectively gathers, obtains, monitors, stores, records, and/or analyzes data associated with components of the riding floor cleaning machine, and controllably communicates and/or disseminates such data with another system and/or user.

Abstract: A tracking device including a housing, wherein the housing includes a cavity, and further wherein the housing is adapted for association with a user; an optional securement member, wherein the optional securement member is associated with at least a portion of the housing; a tracking assembly that tracks a motion logic and defines a job function of an employee/janitor.

Abstract: A floor cleaning machine having an intelligent system including a recovery tank sub-assembly, a vacuum fan sub-assembly, a solution tank sub-assembly, wherein the solution tank sub-assembly preferably includes a secondary electrochemical cell, a solution flow sub-assembly, a control console sub-assembly, a frame and wheel sub-assembly and/or a frame and transaxle sub-assembly, a scrub head sub-assembly, a scrub head lift sub-assembly, a squeegee sub-assembly, a solution flow sub-assembly, and an intelligent system associated with at least one of the above-identified sub-assemblies, wherein the intelligent system at least one of selectively gathers, obtains, monitors, stores, records, and analyzes data associated with components of the floor cleaning machine assembly, and at least one of controllably communicates and disseminates such data with at least one of another system and user.