Thyssenkrupp Elevator Ag

Thyssen Krupp Ag

University of Memphis Research Foundation

John Keith Anderson

Frank Peter Dudde

Peter Feldhusen

Jie Xu

Alan Parker

William Delk

Olivia Stone

Michael Palazzola

Khan M Iftekharuddin

Mike Palazzola

A system and method for controlling the movement of an elevator is provided. The elevator controller directs the operation of the elevator and receives information from the elevator system to calculate a brake profile. The elevator system transmits the brake profile to a master controller. The master controller selectively actuates the brakes to apply a braking force configured to generate the brake profile. The system and method may include local controllers, each configured to actuate a respective brake, wherein the master controller selectively directs the local controllers to generate a brake force commensurate with the braking profile.

Elevator with master controller

A hydraulic-boosted rail brake is provided for use with an elevator having a guide rail. The rail brake includes a braking plate having friction material, a spring package in communication with the braking plate, a hydraulic cylinder, a piston housed at least partially inside the hydraulic cylinder, and a brake controller. The braking plate is selectively movable relative to the guide rail, and the spring package biases the friction material to interact with the guide rail to cause braking. The piston is in communication with the braking plate and is selectively: (a) movable in a release direction to diminish or overcome force from the spring package; and (b) movable in an engage direction to supplement the force from the spring package. The brake controller selectively causes the piston to move in the release direction and in the engage direction.

Hydraulic-boosted rail brake

A method of image processing using a cellular simultaneous recurrent network (CSRN) is provided. In particular, the method includes a processor that sets initial parameters of the CSRN and generates a target image based on the initial parameters. Then, a training process is executed to learn an image processing task. The training process performs an image processing task on one of a plurality of sub-images of an input image and then the sub-image is stored after the training process. The training process is then repeated until the image processing task has been performed on each of the plurality of sub-images of the input image. Once the training process is complete, an image transformation is performed on the input image and an output image is displayed based on the transformed input image.

Image processing using cellular simultaneous recurrent network

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Jackson, TN, United States of America

John Keith Anderson