Xerox Corporation

Hewlett-packard Development Company, L.p.

Lam Research Corporation

Ngoc-Diep Nguyen

William S Eaton

Steven E Soar

Katie Maria Teslow

Brent Rodney Jones

Howard A Mizes

Ernest I Esplin

Vincent M Wong

Yeqing Zhang

John A Durbin

Chung-Ho Huang

Michael E Jones

Carl Thomas Urban

James Bruce Campbell

Bhaskar T Ramakrishnan

Susan June Zoltner

Steven Van Cleve Korol

George Laurens Taylor

Andrew S Yeh

Joel Chan

Joseph Lawson

Lisa Marie Schmidt

Henry T Chan

Michael Edward Norkitis

Russell J Watt

Matthew Hudson Dixon

Kenneth Ralph Chamberlain

Luo Cheng

Raymond Chau

Gerramine S Manuguid

Suresh Anjaneyelu Venkatswamy

Paul Gregory Van Gasse

Yu Ding

Kelly D Sims

Raymond Lew

For etching tools, a neural network model is trained to predict optimum scheduling parameter values. The model is trained using data collected from preventive maintenance operations, recipe times, and wafer-less auto clean times as inputs. The model is used to capture underlying relationships between scheduling parameter values and various wafer processing scenarios to make predictions. Additionally, in tools used for multiple parallel material deposition processes, a nested neural network based model is trained using machine learning. The model is initially designed and trained offline using simulated data and then trained online using real tool data for predicting wafer routing path and scheduling. The model improves accuracy of scheduler pacing and achieves highest tool/fleet utilization, shortest wait times, and fastest throughput.

Model-based scheduling for substrate processing systems

In one embodiment, a method of operating a permanent magnet direct current (PMDC) motor in a printer has been developed. The method includes identifying that a temperature of the PMDC motor exceeds an operating temperature of the motor without the use of a direct temperature sensor. The PMDC motor operates at a reduced printing rate to prevent the motor from overheating.

Indirect temperature monitoring for thermal control of a motor in a printer

A method evaluates image quality in an ink printing system and generates data values for altering the operation of the ink printing system. The method includes generating an ink image on an ink image receiving member that corresponds to a digital image stored in the ink printing system, generating a scanned image signal corresponding to the ink image, generating firing signal waveform adjustments and image data adjustments with reference to the scanned image signal corresponding to the ink image, and operating a printhead in an ink imaging system with reference to the firing signal waveform adjustments and the image data adjustments.

System and method for adjusting operation of printheads in an ink printing device

A method has been developed that reduces the electrical energy consumption of an inkjet printing system. The method regulates the energy consumption of the printing system with reference to a monitored temperature of at least one component in the inkjet printing system.

Inkjet printing system having environmentally responsive thermal control mode

An analog encoder of one embodiment of the invention is disclosed that includes an input mechanism, a digital signal processing mechanism, and an output mechanism. The input mechanism is to receive and digitize different analog encoder signals. The digital signal processing mechanism is to generate inverse analog encoder signals from the different analog encoder signals, and to apply dynamically changeable gain and offset corrections in real-time. The output mechanism is to generate digital quadrature signals from crossing points among the analog encoder signals and the inverse analog encoder signals, and a position value based on a direction of the digital quadrature signals for external access.

Analog encoder

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Portland, OR, United States of America

Ngoc-Diep Nguyen