Patents by Inventor Jens Jensen

Jens Jensen 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).

  • Patent number: 11933441
    Abstract: A sensor arrangement (1) is described comprising a sensor housing (2) and a mounting connector (3). Such a sensor arrangement should be soldered to a refrigeration system without being sensitive for vibrations during operation of the system and without deteriorating a sensor arranged in the housing. To this end the mounting connector (3) is at least partly made of a bi-metal material with an inner layer (10) of steel and an outer layer (11) of copper.
    Type: Grant
    Filed: November 27, 2019
    Date of Patent: March 19, 2024
    Assignee: Danfoss A/S
    Inventors: Veenith Shetty, Hans-Henning Hansen, Jens Jensen
  • Publication number: 20230388351
    Abstract: A resource database which stores structured data describing resources from a diverse array of origins (e.g., an application or cloud environment) is built and maintained to support querying, policy enforcement, and remediation of resources from any origin. Structured data representing resources are obtained from any origin for insertion and categorized based on their type and/or origin. Resources within a category have a shared set of potential object paths as defined by the hierarchical tree structure of their structured data. Resources may be correlated across categories based on having values at different object paths in common. Queries and rules/policies can thus reference resources of any category and also resources across different categories based on correlations between the resources, thereby extending rule/policy enforcement and incident remediation across multiple different origins of resources.
    Type: Application
    Filed: August 4, 2023
    Publication date: November 30, 2023
    Inventors: Angad Abhay Mehata, Chandra Biksheswaran Mouleeswaran, Varun Badhwar, Wayne Jens Jensen
  • Patent number: 11770413
    Abstract: A resource database which stores structured data describing resources from a diverse array of origins (e.g., an application or cloud environment) is built and maintained to support querying, policy enforcement, and remediation of resources from any origin. Structured data representing resources are obtained from any origin for insertion and categorized based on their type and/or origin. Resources within a category have a shared set of potential object paths as defined by the hierarchical tree structure of their structured data. Resources may be correlated across categories based on having values at different object paths in common. Queries and rules/policies can thus reference resources of any category and also resources across different categories based on correlations between the resources, thereby extending rule/policy enforcement and incident remediation across multiple different origins of resources.
    Type: Grant
    Filed: April 5, 2021
    Date of Patent: September 26, 2023
    Assignee: Palo Alto Networks, Inc.
    Inventors: Angad Abhay Mehata, Chandra Biksheswaran Mouleeswaran, Varun Badhwar, Wayne Jens Jensen
  • Publication number: 20220321603
    Abstract: A resource database which stores structured data describing resources from a diverse array of origins (e.g., an application or cloud environment) is built and maintained to support querying, policy enforcement, and remediation of resources from any origin. Structured data representing resources are obtained from any origin for insertion and categorized based on their type and/or origin. Resources within a category have a shared set of potential object paths as defined by the hierarchical tree structure of their structured data. Resources may be correlated across categories based on having values at different object paths in common. Queries and rules/policies can thus reference resources of any category and also resources across different categories based on correlations between the resources, thereby extending rule/policy enforcement and incident remediation across multiple different origins of resources.
    Type: Application
    Filed: April 5, 2021
    Publication date: October 6, 2022
    Inventors: Angad Abhay Mehata, Chandra Biksheswaran Mouleeswaran, Varun Badhwar, Wayne Jens Jensen
  • Publication number: 20220018475
    Abstract: A sensor arrangement (1) is described comprising a sensor housing (2) and a mounting connector (3). Such a sensor arrangement should be soldered to a refrigeration system without being sensitive for vibrations during operation of the system and without deteriorating a sensor arranged in the housing. To this end the mounting connector (3) is at least partly made of a bi-metal material with an inner layer (10) of steel and an outer layer (11) of copper.
    Type: Application
    Filed: November 27, 2019
    Publication date: January 20, 2022
    Inventors: Veenith Shetty, Hans-Henning Hansen, Jens Jensen
  • Patent number: 9965862
    Abstract: Exemplary method, system, and computer-accessible medium can be provided for determining a measure of diffusional kurtosis by receiving data relating to at least one diffusion weighted image, and determining a measure of a diffusional kurtosis as a function of the received data using a closed form solution procedure. In accordance with certain exemplary embodiments of the present disclosure, provided herein are computer-accessible medium, systems and methods for, e.g., imaging in an MRI system, and, more particularly for facilitating estimation of tensors and tensor-derived measures in diffusional kurtosis imaging (DKI). For example, DKI can facilitate a characterization of non-Gaussian diffusion of water molecules in biological tissues. The diffusion and kurtosis tensors parameterizing the DKI model can typically be estimated via unconstrained least squares (LS) methods.
    Type: Grant
    Filed: August 18, 2014
    Date of Patent: May 8, 2018
    Assignee: New York University
    Inventors: Jens Jensen, Joseph Helpern, Ali Tabesh, Els Fieremans
  • Patent number: 9940708
    Abstract: One aspect of the present disclosure relates to a system that can perform double pulsed diffusional kurtosis imaging (DP-DKI). Image data can be received. The image data can be acquired using a double pulsed field gradient (d-PFG) diffusion sequence. A six dimensional (6D) diffusional kurtosis for the image data can be determined. A magnitude of the image data can be determined in terms of the 6D diffusional kurtosis. DP-DKI can isolate the contributions to the d-PFG diffusion sequence, which can represent leading diffusion effects, that cannot be seen from single pulsed field gradient (s-PFG) diffusion sequences.
    Type: Grant
    Filed: February 10, 2015
    Date of Patent: April 10, 2018
    Assignee: MUSC University of South Carolina
    Inventors: Jens Jensen, Sai Kam Hui, Joseph Helpern
  • Patent number: 9478026
    Abstract: One aspect of the present disclosure relates to a system that can determine a kurtosis diffusion orientation distribution function (dODF) that can, for example, be used with diffusional kurtosis imaging fiber tractography (DKI-FT). The system can include a non-transitory memory storing computer-executable instructions and a processor that executes the computer-executable instructions to perform the following operations. Diffusion magnetic resonance imaging (dMRI) data can be received. Based on the dMRI data, a diffusion tensor (DT) and a diffusional kurtosis tensor (DKT) can be determined. A kurtosis dODF can be determined for the dMRI data based on the DT and the DKT. The kurtosis dODF extends a Gaussian approximation of the DT to include non-Gaussian corrections of the DKT.
    Type: Grant
    Filed: March 31, 2015
    Date of Patent: October 25, 2016
    Assignee: MUSC Foundation for Research Development
    Inventors: Jens Jensen, Ali Tabesh, Joseph Helpern
  • Patent number: 9295948
    Abstract: Exemplary embodiments of a methodology, procedure, system, method and computer-accessible medium can be provided to obtain particular information relating to at least one transport property of a material containing at least one membrane, and to determine, e.g., a permeability of the membrane of the material and/or a surface area of the membrane of the material, as a function of, e.g., the obtained particular information.
    Type: Grant
    Filed: March 26, 2010
    Date of Patent: March 29, 2016
    Assignee: New York University
    Inventors: Dmitry S. Novikov, Jens Jensen, Joseph A. Helpern, Els Fieremans
  • Publication number: 20150279029
    Abstract: One aspect of the present disclosure relates to a system that can determine a kurtosis diffusion orientation distribution function (dODF) that can, for example, be used with diffusional kurtosis imaging fiber tractography (DKI-FT). The system can include a non-transitory memory storing computer-executable instructions and a processor that executes the computer-executable instructions to perform the following operations. Diffusion magnetic resonance imaging (dMRI) data can be received. Based on the dMRI data, a diffusion tensor (DT) and a diffusional kurtosis tensor (DKT) can be determined. A kurtosis dODF can be determined for the dMRI data based on the DT and the DKT. The kurtosis dODF extends a Gaussian approximation of the DT to include non-Gaussian corrections of the DKT.
    Type: Application
    Filed: March 31, 2015
    Publication date: October 1, 2015
    Inventors: Jens Jensen, Ali Tabesh, Joseph Helpern
  • Publication number: 20150228073
    Abstract: One aspect of the present disclosure relates to a system that can perform double pulsed diffusional kurtosis imaging (DP-DKI). Image data can be received. The image data can be acquired using a double pulsed field gradient (d-PFG) diffusion sequence. A six dimensional (6D) diffusional kurtosis for the image data can be determined. A magnitude of the image data can be determined in terms of the 6D diffusional kurtosis. DP-DKI can isolate the contributions to the d-PFG diffusion sequence, which can represent leading diffusion effects, that cannot be seen from single pulsed field gradient (s-PFG) diffusion sequences.
    Type: Application
    Filed: February 10, 2015
    Publication date: August 13, 2015
    Inventors: Jens Jensen, Sai Kam Hui, Joseph Helpern
  • Publication number: 20150055845
    Abstract: Exemplary method, system, and computer-accessible medium can be provided for determining a measure of diffusional kurtosis by receiving data relating to at least one diffusion weighted image, and determining a measure of a diffusional kurtosis as a function of the received data using a closed form solution procedure. In accordance with certain exemplary embodiments of the present disclosure, provided herein are computer-accessible medium, systems and methods for, e.g., imaging in an MRI system, and, more particularly for facilitating estimation of tensors and tensor-derived measures in diffusional kurtosis imaging (DKI). For example, DKI can facilitate a characterization of non-Gaussian diffusion of water molecules in biological tissues. The diffusion and kurtosis tensors parameterizing the DKI model can typically be estimated via unconstrained least squares (LS) methods.
    Type: Application
    Filed: August 18, 2014
    Publication date: February 26, 2015
    Inventors: Jens Jensen, Joseph Helpern, Ali Tabesh, Els Fieremans
  • Patent number: 8811706
    Abstract: Exemplary method, system, and computer-accessible medium can be provided for determining a measure of diffusional kurtosis by receiving data relating to at least one diffusion weighted image, and determining a measure of a diffusional kurtosis as a function of the received data using a closed form solution procedure. In accordance with certain exemplary embodiments of the present disclosure, provided herein are computer-accessible medium, systems and methods for, e.g., imaging in an MRI system, and, more particularly for facilitating estimation of tensors and tensor-derived measures in diffusional kurtosis imaging (DKI). For example, DKI can facilitate a characterization of non-Gaussian diffusion of water molecules in biological tissues. The diffusion and kurtosis tensors parameterizing the DKI model can typically be estimated via unconstrained least squares (LS) methods.
    Type: Grant
    Filed: February 7, 2011
    Date of Patent: August 19, 2014
    Assignee: New York University
    Inventors: Jens Jensen, Joseph Helpern, Ali Tabesh, Els Fieremans
  • Publication number: 20120095700
    Abstract: Exemplary embodiments of a methodology, procedure, system, method and computer-accessible medium can be provided to obtain particular information relating to at least one transport property of a material containing at least one membrane, and to determine, e.g., a permeability of the membrane of the material and/or a surface area of the membrane of the material, as a function of, e.g., the obtained particular information.
    Type: Application
    Filed: March 26, 2010
    Publication date: April 19, 2012
    Applicant: New York University
    Inventors: Dmitry S. Novikov, Jens Jensen, Joseph A. Helpern, Els Fieremans
  • Patent number: 8132258
    Abstract: A client computer may be configured to perform computer security operations in conjunction with a remotely located security server. Upon detection of a computer security event, such as reception of a file, the client computer may generate a query input and determine if the query input has corresponding security information in the security server. When the query input has corresponding security information, the client computer may forward the query input to the security server. In response, the security server may retrieve the security information using the query input and provide the security information to the client computer. As a particular example, the security event may be reception of a file in the client computer and the security information may indicate whether or not the file is infected with a computer virus.
    Type: Grant
    Filed: June 12, 2008
    Date of Patent: March 6, 2012
    Assignee: Trend Micro Incorporated
    Inventors: Wayne Jens Jensen, Shaohong Wei
  • Publication number: 20120002851
    Abstract: Exemplary method, system, and computer-accessible medium can be provided for determining a measure of diffusional kurtosis by receiving data relating to at least one diffusion weighted image, and determining a measure of a diffusional kurtosis as a function of the received data using a closed form solution procedure. In accordance with certain exemplary embodiments of the present disclosure, provided herein are computer-accessible medium, systems and methods for, e.g., imaging in an MRI system, and, more particularly for facilitating estimation of tensors and tensor-derived measures in diffusional kurtosis imaging (DKI). For example, DKI can facilitate a characterization of non-Gaussian diffusion of water molecules in biological tissues. The diffusion and kurtosis tensors parameterizing the DKI model can typically be estimated via unconstrained least squares (LS) methods.
    Type: Application
    Filed: February 7, 2011
    Publication date: January 5, 2012
    Applicant: New York University
    Inventors: Jens Jensen, Joseph Helpern, Ali Tabesh, Els Fieremans
  • Patent number: 7937686
    Abstract: Embodiments of the present invention pertain to implementation of textual names as the actual identifiers of elements of models. A structured system provided for constructing the textual names so as to be unique in a specific context. In one embodiment, namespaces are added to a name as a mechanism for ensuring uniqueness across multiple development sources. In one embodiment, upon deployment to a runtime environment, alternate names are assigned to support efficient processing.
    Type: Grant
    Filed: April 17, 2007
    Date of Patent: May 3, 2011
    Assignee: Microsoft Corporation
    Inventors: Peter Sorensen, Lars Hammer, Christian Damm, Jens Jensen, Morten Nielsen, Thomas Hejlsberg
  • Patent number: 7852078
    Abstract: Methods, systems, software arrangements and storage medium for measuring the magnetic field correlation function (“MFC”), and more particularly, to methods for measuring the magnetic field correlation function utilizing asymmetric spin echoes. Asymmetric Dual Spin Echo Sequences (“ADSE”) and Echo Planar Imaging Asymmetric Dual Spin Echo Sequences (“EPI-ADSE”) may be employed to apply multiple echoes to a sample and acquire data from which the MFC may be determined.
    Type: Grant
    Filed: February 22, 2010
    Date of Patent: December 14, 2010
    Assignee: New York University
    Inventors: Jens Jensen, Joseph A. Helpern, Glyn Johnson, Ramesh Chandra
  • Publication number: 20100207626
    Abstract: Methods, systems, software arrangements and storage medium for measuring the magnetic field correlation function (“MFC”), and more particularly, to methods for measuring the magnetic field correlation function utilizing asymmetric spin echoes. Asymmetric Dual Spin Echo Sequences (“ADSE”) and Echo Planar Imaging Asymmetric Dual Spin Echo Sequences (“EPI-ADSE”) may be employed to apply multiple echoes to a sample and acquire data from which the MFC may be determined.
    Type: Application
    Filed: February 22, 2010
    Publication date: August 19, 2010
    Applicant: New York University
    Inventors: Jens Jensen, Joseph A. Helpern, Glyn Johnson, Ramesh Chandra
  • Patent number: 7667459
    Abstract: Methods, systems, software arrangements and storage medium for measuring the magnetic field correlation function (“MFC”), and more particularly, to methods for measuring the magnetic field correlation function utilizing asymmetric spin echoes. Asymmetric Dual Spin Echo Sequences (“ADSE”) and Echo Planar Imaging Asymmetric Dual Spin Echo Sequences (“EPI-ADSE”) may be employed to apply multiple echoes to a sample and acquire data from which the MFC may be determined.
    Type: Grant
    Filed: July 8, 2004
    Date of Patent: February 23, 2010
    Assignee: New York University
    Inventors: Jens Jensen, Joseph A. Helpern, Glyn Johnson, Ramesh Chandra