Xylem Vue Inc.

Emnet, LLC

Ruben Kertesz

Luis Montestruque

Bryant McDonnell

Timothy P Ruggaber

Timothy P Braun

Frederic Myers

Alireza Partovi

Jeremy Slater

Supporting assemblies for supporting a suspended load and processes relating thereto are described. An exemplar supporting assembly includes: (i) an area-narrowing feature including a first inner surface defining a first aperture; (ii) a main tube including an interior-main surface defining a cavity having disposed therewithin the area-narrowing feature; (iii) an area-expanding feature including a second outer surface; and (iv) a telescoping rod including an outer-telescoping surface having disposed thereon the area-expanding feature. In an assembled state of the supporting assembly, the outer-telescoping surface slidably passes through and establishes a first frictional contact with the first inner surface, and the second outer surface slidably engages and establishes a second frictional contact with the interior-main surface. In this configuration, the area-narrowing feature and the area-expanding feature facilitate slidable engagement of the telescoping rod to expand out of or retract inside, without decoupling from, the main tube.

Systems and methods for supporting suspended items

Fluid stream management systems and methods relating thereto are described. The fluid management system includes: (1) one or more storage chambers; (2) two or more flow condition attribute measuring devices configured to measures certain flow condition attribute values; (3) one or more flow controllers that are communicatively coupled to receive the flow condition attribute values and use them to establish certain cost functions; and (4) one or more flow-modifying devices, each of which is coupled to at least one of the flow controllers, and based upon instruction received from at least one of the flow controllers, the flow-modifying device is capable of modifying flow of fluid through one or more of the flow-modifying devices to minimize a difference between the established cost functions.

Systems and methods using probabilistic forecast for agent-based control of sewers

Fluid stream management systems and methods relating thereto are described. The fluid management system includes a neural network, which comprises: (i) an input layer that is communicatively coupled to one or more fluid facility sensors and/or one or more pre-processing flow sensors such that one or more of the flow condition attribute values are received the neural network; (ii) one or more intermediate layers, which are configured to constrain one or more of the flow condition attribute values to arrive at modified flow condition attribute values; (iii) an output layer, which transmits, one or more modified flow condition attribute values to a downstream control device. This control device and other computation devices perform certain calculations that ultimately inform a flow controller, which in turn, instructs a flow-directing device regarding management of fluid streams.

Fluid stream management systems and methods thereof

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South Bend, IN, United States of America

Ruben Kertesz