Applied Materials, Inc.

Insyst Ltd.

Solaris Synergy (Israel) Ltd.

Yossi Fisher

Yuri Kokotov

Jacques Seror

Efim Entin

Arulkumar P Shanmugasundram

Alexander T Schwarm

Jehuda Hartman

Moshe Sarfaty

Young Jeen Paik

Shalomo Sarel

Yehuda Hartman

Arnold J Goldman

Shlomo Sarel

Oren Yulevitch

Shlomo Caine

Joseph Peretz

Avraham Oren

Provided herein is a floating photovoltaic solar device designed to reduce the effect of wind forces without the use of external control or power. The device includes a floating anchored frame with a means for connecting an internal corded lattice; a corded lattice suspended within the floating frame and forming a set of polygonal cells in which independently floating solar photovoltaic modules are positioned. Access for scheduled and unscheduled maintenance may be provided by a floating service gantry. The system is modular and several devices may be connected in a honeycomb-like structure.

Corded lattice based floating photovoltaic solar field with independently floating solar modules

A method, system, and medium of modeling and/or for controlling a manufacturing process is disclosed. The method includes the steps of identifying one or more input parameters that cause a change in output characteristics, defining global nodes using estimated maximum and minimum values of the input parameters, and defining a mathematical equation that calculates a predicted output characteristic for each node. The method also includes the steps of receiving at least one empirical data point having one or more input parameter values and at least one empirical output value and adjusting the predicted output values at the nodes based on a difference between the at least one empirical output value and the predicted output characteristic calculated using the mathematical equation based on the one or more input parameter values.

Method, system and medium for controlling manufacturing process using adaptive models based on empirical data

A method, system, and medium of modeling and/or for controlling a manufacturing process is disclosed. In particular, a method according to embodiments of the present invention includes calculating a set of predicted output values, and obtaining a prediction model based on a set of input parameters, the set of predicted output values, and empirical output values. Each input parameter causes a change in at least two outputs. The method also includes optimizing the prediction model by minimizing differences between the set of predicted output values and the empirical output values, and adjusting the set of input parameters to obtain a set of desired output values to control the manufacturing apparatus. Obtaining the prediction model includes transforming the set of input parameters into transformed input values using a transformation function of multiple coefficient values, and calculating the predicted output values using the transformed input values.

Method, system and medium for controlling manufacture process having multivariate input parameters

A method, system, and medium of modeling and/or for controlling a manufacturing process is disclosed. In particular, a method according to embodiments of the present invention includes the step of identifying one or more input parameters. Each input parameter causes a change in at least two outputs. The method also includes the step of storing values of the identified inputs and corresponding empirical output values along with predicted output values. The predicted output values are calculated based on, in part, the values of the identified inputs. The method also includes the step of calculating a set of transform coefficients by minimizing a score equation that is a function of differences between one or more of the empirical output values and their corresponding predicted output values. The method further includes the steps of receiving a new set of values for the identified inputs, transforming the new set of values for the identified input using the set of coefficients, and calculating a set of predicted output values using the transformed input values.

A method and apparatus for providing early fault detection and alert generation in a multi-parameter process is provided. The method comprises defining a multi-dimensional space, each dimension representing a parameter of the process; applying an analysis of the process to the space in order to define regions of high and low probability of occurrence; measuring and mapping parameter values onto the space; and generating an alert whenever a parameter value is mapped into a region of low probability. The method and apparatus are also useful for identifying the cause of faults, adjusting the process to avoid faults and predicting a process-specific maintenance schedule.

Methods and apparatus for early fault detection and alert generation in a process

A system for automatic control of a process, comprising a process model using data and further comprising a data model for generating data for said process model and an empirical data extractor for extracting data from said process for said model, and wherein said data used by said process model is interchangeable between data obtained by said data model and data obtained by said extractor. The data model may be a partly statistical partly empirical orthogonal process model. The system is useful in allowing control systems using empirical prediction methods to perform automatic control before having built up a full results database.

Model predictive control (MPC) system using DOE based model

An automated modeler for modeling of an interactive system comprising at least one biological entity and at least one pharmaceutical substance, the system comprising, a representation of states of said system, a knowledge tree builder, associated with said representation for allowing users to define the states, expected relationships between said states and independent inputs to the states, and a data miner associated with said representation to operate on data taken from said system to apply said data to said states in accordance with said defined relationships and inputs, thereby to apply numerical values to said relationships and said inputs, thereby to model said interactions.

Knowledge tree medical enablement

Apparatus for control of a complex process, said process being described by a plurality of input variables, a plurality of intermediate variables and a plurality of output variables having relationships therebetween such that ones of said inputs and said intermediate variables effect respectively different output variables, each of said output variables having a target, said apparatus comprising an optimizer for finding an optimum value for respective ones of said input and intermediate variables to maximize a summed convergence of said output variables to said targets.

Growing community of inventors

Jerusalem, Israel

Yossi Fisher