Patents by Inventor Amir Rubinstein

Amir Rubinstein has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Preparation of aldehydes and ketones from alkenes using polyoxometalate catalysts and nitrogen oxides
    Patent number: 9815757
    Abstract: The present invention relates to a process for preparing aldehydes and ketones by carbon-carbon bond cleavage of alkenes, wherein the process is catalysed by first row transition metal nitro coordinated polyoxometalate catalyst. The catalyst can be prepared by pre-treatment of aqua coordinated polyoxometalates with NO2, or they are formed in situ when the reactions are carried in nitroalkanes under aerobic conditions, or they are formed in situ from nitrosyl (NO) compounds in the presence of O2.
    Type: Grant
    Filed: March 1, 2015
    Date of Patent: November 14, 2017
    Assignee: YEDA RESEARCH AND DEVELOPMENT CO. LTD.
    Inventors: Ronny Neumann, Amir Rubinstein
  • PREPARATION OF ALDEHYDES AND KETONES FROM ALKENES USING POLYOXOMETALATE CATALYSTS AND NITROGEN OXIDES
    Publication number: 20170057897
    Abstract: The present invention relates to a process for preparing aldehydes and ketones by carbon-carbon bond cleavage of alkenes, wherein the process is catalysed by first row transition metal nitro coordinated polyoxometalate catalyst. The catalyst can be prepared by pre-treatment of aqua coordinated polyoxometalates with NO2, or they are formed in situ when the reactions are carried in nitroalkanes under aerobic conditions, or they are formed in situ from nitrosyl (NO) compounds in the presence of O2.
    Type: Application
    Filed: March 1, 2015
    Publication date: March 2, 2017
    Inventors: Ronny NEUMANN, Amir RUBINSTEIN
  • Semantic intensity based decomposition of software systems
    Patent number: 8769515
    Abstract: A computer-implemented technique for analysis of software, is carried out using a semantic intensity calculation module, a coupling calculation module, and a software decomposition module. Software elements are identified in a computer program code, and respective roles of the software elements established. With the semantic intensity calculation module respective semantic intensity metrics are calculated for the software elements according to the roles thereof. With the coupling calculation module semantic intensity metrics are calculated to determine coupling factors between different software elements. With the software decomposition module the software elements are organized into distinct software components according to the coupling factors therebetween. Then, an optimized computer program code is generated from the software components.
    Type: Grant
    Filed: March 23, 2009
    Date of Patent: July 1, 2014
    Assignee: International Business Machines Corporation
    Inventors: Dany Moshkovich, Amir Rubinstein
  • Semantic Intensity Based Decomposition of Software Systems
    Publication number: 20100242019
    Abstract: A computer-implemented technique for analysis of software, is carried out using a semantic intensity calculation module, a coupling calculation module, and a software decomposition module. Software elements are identified in a computer program code, and respective roles of the software elements established. With the semantic intensity calculation module respective semantic intensity metrics are calculated for the software elements according to the roles thereof. With the coupling calculation module semantic intensity metrics are calculated to determine coupling factors between different software elements. With the software decomposition module the software elements are organized into distinct software components according to the coupling factors therebetween. Then, an optimized computer program code is generated from the software components.
    Type: Application
    Filed: March 23, 2009
    Publication date: September 23, 2010
    Inventors: Dany Moshkovich, Amir Rubinstein