Search Patents
  • Method for the synthesis of oligonucleotide derivatives
    Patent number: 8183355
    Abstract: Method for the synthesis of nucleotide derivatives wherein molecules of interest are grafted on the oligonucleotide with the help of a “click chemistry” reaction between an azide function on the molecule of interest and an alkyne function on the oligonucleotide, or between an alkyne function on the molecule of interest and an azide function on the oligonucleotide. Intermediate molecules, notably alkyne functionalized oligonucleotides, grafted oligonucleotides, azide functionalized oligonucleotides, oligonucleotide micro arrays containing them and the use of those grafted oligonucleotides for biological investigation and for cell targeting.
    Type: Grant
    Filed: April 7, 2011
    Date of Patent: May 22, 2012
    Assignee: Centre National de la Recherche Scientifique (CNRS)
    Inventors: François Morvan, Albert Meyer, Jean-Jacques Vasseur, Sébastien Vidal, Jean-Pierre Cloarec, Yann Chevolot, Eliane Souteyrand
  • Method for the synthesis of oligonucleotide derivatives
    Patent number: 7951926
    Abstract: Method for the synthesis of nucleotide derivatives wherein molecules of interest are grafted on the oligonucleotide with the help of a “click chemistry” reaction between an azide function on the molecule of interest and an alkyne function on the oligonucleotide, or between an alkyne function on the molecule of interest and an azide function on the oligonucleotide. Intermediate molecules, notably alkyne functionalized oligonucleotides, grafted oligonucleotides, azide functionalized oligonucleotides, oligonucleotide micro arrays containing them and the use of those grafted oligonucleotides for biological investigation and for cell targeting.
    Type: Grant
    Filed: April 26, 2007
    Date of Patent: May 31, 2011
    Assignee: Centre National de la Recherche Scientifique (CNRS)
    Inventors: François Morvan, Albert Meyer, Jean-Jacques Vasseur, Sébastien Vidal, Jean-Pierre Cloarec, Yann Chevolot, Eliane Souteyrand
  • SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR INJECTING DIRECTLY INTO A WEB BROWSER COMMANDS AND/OR CONTENTS CREATED ON LOCAL DESKTOP APPLICATIONS OF A COMPUTER DEVICE, AND VICE-VERSA
    Publication number: 20170228467
    Abstract: A method of handling content in a computer device allows creating on a computer device a model with a local application and transferring the model directly into a local web browser of the computer device and vice-versa, without any transfer of data via a distant server, or without any local disk transfer on the computer device.
    Type: Application
    Filed: September 9, 2015
    Publication date: August 10, 2017
    Inventors: Jean-Pierre BAILLY, Alexandre CHECINSKI, Romain GORA, Raphael GULLY, Hervé JOBBE-DUVAL, Nicolas SCHONER, Sylvain SECCIA, Nicolas VASSEUR
  • Injection press for molding pieces of elastomer
    Publication number: 20020172736
    Abstract: An injection press for molding pieces of elastomer comprises a fixed platen, a moving platen, and a turret carrying a plurality of molds, the turret and the molds being interposed between the two platens so as to be capable of being clamped between them in order to close the molds, and the turret being mounted to rotate so as to move each mold sequentially between an injection station, vulcanization stations, and an unmolding station. The press also comprises an injector device adapted to inject elastomer into each mold while it is in the injection station, heater devices adapted to heat the molds, and a control device adapted to move the moving platen and to cause the turret to turn.
    Type: Application
    Filed: April 29, 2002
    Publication date: November 21, 2002
    Inventors: Jean-Pierre Chasles, Alain Vasseur, Patrick Vanhille, Philippe Blot
  • AUTOMATIC CHARACTERIZATION OF AP BEHAVIORS
    Publication number: 20180359651
    Abstract: In one embodiment, a device receives observed access point (AP) features of one or more APs in a monitored network. The device clusters the observed AP features within a latent space to form AP feature clusters. The device applies labels to the AP feature clusters within the latent space. The device uses the applied labels to the AP feature clusters to describe future behaviors of the one or more APs in the monitored network.
    Type: Application
    Filed: June 12, 2017
    Publication date: December 13, 2018
    Inventors: Javier Cruz Mota, Jean-Philippe Vasseur, Pierre-André Savalle, Grégory Mermoud
  • CANCELING PREDICTIONS UPON DETECTING CONDITION CHANGES IN NETWORK STATES
    Publication number: 20230010641
    Abstract: In one embodiment, a device obtains an indication of a network event predicted by a routing engine for a network. The device initiates monitoring of one or more network paths associated with the network event, to determine one or more states of the network. The device makes a comparison between the one or more states of the network and a set of one or more constraints. The device provides a prediction cancelation notification to the routing engine, based on the comparison.
    Type: Application
    Filed: July 6, 2021
    Publication date: January 12, 2023
    Inventors: Jean-Philippe Vasseur, Grégory MERMOUD, Vinay Kumar KOLAR, Pierre-André SAVALLE
  • AUTOMATIC CHARACTERIZATION OF AP BEHAVIORS
    Publication number: 20210144572
    Abstract: In one embodiment, a device receives observed access point (AP) features of one or more APs in a monitored network. The device clusters the observed AP features within a latent space to form AP feature clusters. The device applies labels to the AP feature clusters within the latent space. The device uses the applied labels to the AP feature clusters to describe future behaviors of the one or more APs in the monitored network.
    Type: Application
    Filed: January 20, 2021
    Publication date: May 13, 2021
    Inventors: Javier Cruz Mota, Jean-Philippe Vasseur, Pierre-André Savalle, Grégory Mermoud
  • Injection press for molding pieces of elastomer
    Patent number: 6652261
    Abstract: An injection press for molding pieces of elastomer comprises a fixed platen, a moving platen, and a turret carrying a plurality of molds, the turret and the molds being interposed between the two platens so as to be capable of being clamped between them in order to close the molds, and the turret being mounted to rotate so as to move each mold sequentially between an injection station, vulcanization stations, and an unmolding station. The press also comprises an injector device adapted to inject elastomer into each mold while it is in the injection station, heater devices adapted to heat the molds, and a control device adapted to move the moving platen and to cause the turret to turn.
    Type: Grant
    Filed: April 29, 2002
    Date of Patent: November 25, 2003
    Assignee: Hutchinson
    Inventors: Jean-Pierre Chasles, Alain Vasseur, Patrick Vanhille, Philippe Blot
  • LEARNING ROBUST AND ACCURATE RULES FOR DEVICE CLASSIFICATION FROM CLUSTERS OF DEVICES
    Publication number: 20200396129
    Abstract: In various embodiments, a device classification service obtains traffic telemetry data for a plurality of devices in a network. The service applies clustering to the traffic telemetry data, to form device clusters. The service generates a device classification rule based on a particular one of the device clusters. The service receives feedback from a user interface regarding the device classification rule. The service adjusts the device classification rule based on the received feedback.
    Type: Application
    Filed: July 2, 2019
    Publication date: December 17, 2020
    Inventors: David Tedaldi, Grégory Mermoud, Pierre-Andre Savalle, Jean-Philippe Vasseur
  • LEARNING ROBUST AND ACCURATE RULES FOR DEVICE CLASSIFICATION FROM CLUSTERS OF DEVICES
    Publication number: 20210126833
    Abstract: In various embodiments, a device classification service obtains traffic telemetry data for a plurality of devices in a network. The service applies clustering to the traffic telemetry data, to form device clusters. The service generates a device classification rule based on a particular one of the device clusters. The service receives feedback from a user interface regarding the device classification rule. The service adjusts the device classification rule based on the received feedback.
    Type: Application
    Filed: January 6, 2021
    Publication date: April 29, 2021
    Inventors: David Tedaldi, Grégory Mermoud, Pierre-Andre Savalle, Jean-Philippe Vasseur
  • MECHANISMS TO PREVENT ANOMALY DETECTORS FROM LEARNING ANOMALOUS PATTERNS
    Publication number: 20170279830
    Abstract: In one embodiment, a device in a network detects an anomaly in the network by analyzing a set of sample data regarding one or more conditions of the network using a behavioral analytics model. The device receives feedback regarding the detected anomaly. The device determines that the anomaly was a true positive based on the received feedback. The device excludes the set of sample data from a training set for the behavioral analytics model, in response to determining that the anomaly was a true positive.
    Type: Application
    Filed: June 13, 2016
    Publication date: September 28, 2017
    Inventors: Grégory Mermoud, Jean-Philippe Vasseur, Pierre-André Savalle
  • EDGE-BASED DETECTION OF NEW AND UNEXPECTED FLOWS
    Publication number: 20170279827
    Abstract: In one embodiment, a device in a network identifies a new interaction between two or more nodes in the network. The device forms a feature vector using contextual information associated with the new interaction between the two or more nodes. The device causes generation of an anomaly detection model for new node interactions using the feature vector. The device uses the anomaly detection model to determine whether a particular node interaction in the network is anomalous.
    Type: Application
    Filed: May 24, 2016
    Publication date: September 28, 2017
    Inventors: Pierre-André Savalle, Laurent Sartran, Jean-Philippe Vasseur, Grégory Mermoud
  • AUTONOMOUS SYSTEM BOTTLENECK DETECTION
    Publication number: 20220376998
    Abstract: In one embodiment, a supervisory service for a network obtains quality of experience metrics for application sessions of an online application. The supervisory service maps the application sessions to paths that traverse a plurality of autonomous systems. The supervisory service identifies, based in part on the quality of experience metrics, a particular autonomous system from the plurality of autonomous systems associated with a decreased quality of experience for the online application. The supervisory service causes application traffic for the online application to avoid the particular autonomous system.
    Type: Application
    Filed: May 24, 2021
    Publication date: November 24, 2022
    Inventors: Jean-Philippe VASSEUR, Vinay Kumar KOLAR, Grégory MERMOUD, Pierre-André SAVALLE
  • LEARNING INTERNAL RANGES FROM NETWORK TRAFFIC DATA TO AUGMENT ANOMALY DETECTION SYSTEMS
    Publication number: 20190342321
    Abstract: In one embodiment, a device in a network receives traffic records indicative of network traffic between different sets of host address pairs. The device identifies one or more address grouping constraints for the sets of host address pairs. The device determines address groups for the host addresses in the sets of host address pairs based on the one or more address grouping constraints. The device provides an indication of the address groups to an anomaly detector.
    Type: Application
    Filed: July 22, 2019
    Publication date: November 7, 2019
    Inventors: Laurent Sartran, Sébastien Gay, Pierre-André Savalle, Grégory Mermoud, Jean-Philippe Vasseur
  • PROTECTING DEVICE CLASSIFICATION SYSTEMS FROM ADVERSARIAL ENDPOINTS
    Publication number: 20210297442
    Abstract: In various embodiments, a device classification service clusters devices in a network into a device type cluster based on attributes associated with the devices. The device classification service tracks changes to the device type cluster over time. The device classification service detects an attack on the device classification service by one or more of the devices based on the tracked changes to the device type cluster. The device classification service initiates a mitigation action for the detected attack on the device classification service.
    Type: Application
    Filed: March 19, 2020
    Publication date: September 23, 2021
    Inventors: Jean-Philippe Vasseur, Grégory Mermoud, Pierre-André Savalle, David Tedaldi
  • LEARNING INTERNAL RANGES FROM NETWORK TRAFFIC DATA TO AUGMENT ANOMALY DETECTION SYSTEMS
    Publication number: 20180077182
    Abstract: In one embodiment, a device in a network receives traffic records indicative of network traffic between different sets of host address pairs. The device identifies one or more address grouping constraints for the sets of host address pairs. The device determines address groups for the host addresses in the sets of host address pairs based on the one or more address grouping constraints. The device provides an indication of the address groups to an anomaly detector.
    Type: Application
    Filed: September 13, 2016
    Publication date: March 15, 2018
    Inventors: Laurent Sartran, Sébastien Gay, Pierre-André Savalle, Grégory Mermoud, Jean-Philippe Vasseur
  • EXTRACTION OF PROTOTYPICAL TRAJECTORIES FOR AUTOMATIC CLASSIFICATION OF NETWORK KPI PREDICTIONS
    Publication number: 20210294818
    Abstract: In one embodiment, a service divides one or more time series for a network key performance (KPI) into a plurality of time series chunks. The service clusters the plurality of time series chunks into a plurality of clusters. The service identifies a sketch that represents a particular one of the clusters. The service associates a label with the identified sketch. The service applies the label to a new KPI time series by matching the sketch to the new KPI time series.
    Type: Application
    Filed: March 19, 2020
    Publication date: September 23, 2021
    Inventors: Pierre-André Savalle, Jean-Philippe Vasseur, Grégory Mermoud, Vinay Kumar Kolar
  • DEVICE TYPE CLASSIFICATION USING METRIC LEARNING IN WEAKLY SUPERVISED SETTINGS
    Publication number: 20200387746
    Abstract: In one embodiment, a device classification service receives telemetry data indicative of behavioral characteristics of a plurality of devices in a network. The service obtains side information for the telemetry data. The service applies metric learning to the telemetry data and side information, to construct a distance function. The service uses the distance function to cluster the telemetry data into device clusters. The service associates a device type label with a particular device cluster.
    Type: Application
    Filed: June 7, 2019
    Publication date: December 10, 2020
    Inventors: David Tedaldi, Pierre-Andre Savalle, Sharon Shoshana Wulff, Jean-Philippe Vasseur, Grégory Mermoud
  • SERVICE PROVIDER SELECTION FOR APPLICATION-DRIVEN ROUTING
    Publication number: 20220345522
    Abstract: In one embodiment, a device receives application experience metrics for a software-as-a-service application. The device generates, based on the application experience metrics, a predictive model that predicts application experience scores for a plurality of network service providers that provide connectivity to the software-as-a-service application. The device selects a particular network service provider for use by a location, based on an application experience score predicted by the predictive model. The device sends an indication of the particular network service provider to the location.
    Type: Application
    Filed: April 26, 2021
    Publication date: October 27, 2022
    Inventors: Vinay Kumar KOLAR, Jean-Philippe VASSEUR, Grégory MERMOUD, Pierre-André SAVALLE
  • LEARNING ROBUST AND ACCURATE RULES FOR DEVICE CLASSIFICATION FROM CLUSTERS OF DEVICES
    Publication number: 20220166675
    Abstract: In various embodiments, a device classification service obtains traffic telemetry data for a plurality of devices in a network. The service applies clustering to the traffic telemetry data, to form device clusters. The service generates a device classification rule based on a particular one of the device clusters. The service receives feedback from a user interface regarding the device classification rule. The service adjusts the device classification rule based on the received feedback.
    Type: Application
    Filed: October 29, 2021
    Publication date: May 26, 2022
    Inventors: David Tedaldi, Grégory Mermoud, Pierre-André Savalle, Jean-Philippe Vasseur
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