Insyst Ltd.

Solaris Synergy Ltd.

Joseph Fisher

Arnold J Goldman

Jehuda Hartman

Shlomo Sarel

Yuri Kokotov

Michael A Reyz

A solar power generation system includes a plurality of individual modules, each formed from a photovoltaic cell, a solar concentrator, a sealed evaporative cooling system and a heat sink. The solar concentrator focuses sunlight onto a front side the cell to generate electricity. The cooling system circulates a coolant in a liquid state to an evaporative cooling chamber having a wall defined at least partially by a back side of the cell to remove heat from the cell by direct contact between the coolant and the cell, and emits coolant in a vapor state to a condenser where the vapor coolant is condensed to a liquid state. The heat sink may be any suitable body of water, such that the condenser may be at least partially submerged therein. The modules are combined to form a platform that is rotated on the body of water by a drive device to provide tracking of the sun.

Photovoltaic solar power generation system with sealed evaporative cooling

A strategic method for process control wherein the method includes, for a predetermined process juncture, the steps of: (A) defining an interconnection cell having associated therewith (i) at least one set of input data or at least one set of process control parameters, and (ii) at least one set of output data; (B) assigning at least one boundary value to at least one set of the sets associated with the defined interconnection cell; (C) using the assigned at least one boundary value, forming a plurality of discrete respective set combinations, and (D) for the interconnection cell, processing data from the plurality of respective formed set combinations into respective corresponding data record clusters. The strategic method for process control is a continuation-in-part of a Knowledge-Engineering Protocol-Suite, (U.S. patent application Ser. No. 09/588,681 filed on 7 Jun. 2000) incorporated herein by reference, that generally includes methods and systems, apparatus for search-space organizational validation, and appurtenances for use therewith. The protocol-suite includes a search-space organizational validation method for synergistically combining knowledge bases of disparate resolution data-sets, such as by actual or simulated integrating of lower resolution expert-experience based model-like templates to higher resolution empirical data-capture dense quantitative search-spaces. The protocol-suite includes facile algorithmic tools for use with the method.

Strategic method for process control

A Knowledge-Engineering Protocol-Suite is presented that generally includes methods and systems, apparatus for search-space organizational validation, and appurtenances for use therewith. The protocol-suite includes a search-space organizational validation method for synergistically combining knowledge bases of disparate resolution data-sets, such as by actual or simulated integrating of lower resolution expert-experience based model-like templates to higher resolution empirical data-capture dense quantitative search-spaces. Furthermore, from alternative technological vantages, the suite relates to situations where this synergetic combining is beneficially accomplished, such as in control systems, command control systems, command control communications systems, computational apparatus associated with the aforesaid, and to quantitative modeling and measuring tools used therewith. The protocol-suite also includes facile algorithmic tools for use with the method and a process-modeling computer for use in a distributed asynchronous system of process modeling computers.

Knowledge-engineering protocol-suite

In an automatic decision-making system, a method and a tool for the reduction of the dimension of data mining, which is automatically coupled to an empirical predictor of the system. The method includes a qualitative modeling of the interrelations between various objects whose attributes are relevant to a score made by the predictor according to which decisions are made, wherein this relevancy is determined by an input of a domain expert to the problem in hand. The model is called a Knowledge-Tree and its conclusions are represented by a graphical symbolization called the Knowledge-Tree map. Data mining, which follows the construction of the Knowledge-Tree map regards only datasets which are associated with logical and validated branches of the knowledge tree. Because the expert input which reduces the dimension of data mining was completed prior to data mining, interception by human reasoning is not needed after data mining and the decision making process can proceed automatically.

Method and tool for data mining in automatic decision making systems

A method of modeling a monitorable stage in a process is provided. The method including the steps of: (a) measuring at least one input value of a parameter of the monitorable stage of the process; (a) measuring at least one output value of the parameter of the monitorable stage of the process; and (c) utilizing the at least one input value and the at least one output value for constructing a process output empirical model for uncovering a functional relationship between the at least one input value and at least one output value, the step of constructing the process output empirical modeler being effected by: (i) dividing at least one interval of the parameter into a plurality of sub intervals, such that each of the at least one interval is divided into at least two of the sub intervals; (ii) classifying the at least one output value according to the plurality of sub intervals, thereby presenting the at least one output value as a plurality of discrete variables defining the at least one output value; and (iii) using the plurality of discrete variables defining the at least one output value for defining the functional relationship between the at least one input value and the at least one output value, thereby modeling the monitorable stage of the process.

System and method for monitoring process quality control

A method and system to enhance yield in multi-process manufacturing. The method comprising the translation of a performance parameter of a product into input variables to operate tools carrying our cooperating processes which built a structural element which determines the performance parameter, wherein the individual tools are process controlled. The method further comprising the integration of process control of individual separate processes or of stages in a process, into a combined and comprehensive (modular) process control in which the process parameters of a process are enslaved to accomplish the target output of the final process. Hence target output values of intermediate processes are dynamically reassigned during the manufacturing with respect to their initially designed values, in accordance with the output of their cooperating processes.

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Jerusalem, Israel

Joseph Fisher