Patents by Inventor Martin Mevissen
Martin Mevissen 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).
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Publication number: 20200056898Abstract: A system and method for cognitive journey monitoring are presented. Embodiments comprise journey prediction, parsing of data sources, risk assessment and mitigation, and natural-language user interaction by a cognitive processor. Data is gathered from a plurality of data sources and analyzed in the context of one or more of the user's intention(s). A dialogue with the user, in natural language, aims to provide and select one or more suggestions relating to the one or more user intention(s) such that the risk(s) relating to the one or more user's intention(s) is reduced. During the dialogue, cognitive reasoning may be performed, wherein the cognitive reasoning includes the ability to justify each suggestion and the ability to infer information from the interaction such as, for example, data obtained in a dialogue may inform subsequent inferences. The embodiments may use speech synthesis and speech recognition in an interactive spoken dialogue.Type: ApplicationFiled: October 23, 2019Publication date: February 20, 2020Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jonathan EPPERLEIN, Claudio GAMBELLA, Wynita M. GRIGGS, Yassine LASSOUED, Jakub MARECEK, Martin MEVISSEN, Julien MONTEIL, Rodrigo H. ORDONEZ-HURTADO, Giovanni RUSSO, Robert SHORTEN
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Publication number: 20200055442Abstract: In an approach for determining the illumination necessary along a vehicle's planned trajectory, a processor receives information relevant to the trajectory of a vehicle. A processor estimates the position of the vehicle at the particular time on the trajectory of the vehicle, using the data from the sensors. A processor estimates an illumination of the trajectory of the vehicle, using the model of the illumination of the road network and the data from the sensors, wherein a threshold is employed. A processor determines the threshold is exceeded. A processor changes a setting of the at least one headlight on the vehicle. A processor determines the threshold is exceeded. A processor alerts the user of the vehicle when adjustments to the at least one headlight that are necessary to illuminate the trajectory of the vehicle exceed physical limitations of the at least one headlight.Type: ApplicationFiled: October 24, 2019Publication date: February 20, 2020Applicants: International Business Machines Corporation, University College DublinInventors: Jonathan P. Epperlein, Claudio Gambella, Yassine Lassoued, Jakub Marecek, Martin Mevissen, Julien Monteil, Giovanni Russo, Robert Shorten, Wynita M. Griggs, Rodrigo H. Ordonez-Hurtado
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Patent number: 10527437Abstract: A system and method for cognitive risk mitigation are presented. Embodiments comprise journey prediction, parsing of data sources, risk assessment and mitigation, and natural-language user interaction by a cognitive processor. Data is gathered from a plurality of data sources and analyzed in the context of one or more of the user's intention(s). A dialogue with the user, in natural language, aims to provide and select one or more suggestions relating to the one or more user intention(s) such that the risk(s) relating to the one or more user's intention(s) is reduced. During the dialogue, cognitive reasoning may be performed, wherein the cognitive reasoning includes the ability to justify each suggestion and the ability to infer information from the interaction such as, for example, data obtained in a dialogue may inform subsequent inferences. The embodiments may use speech synthesis and speech recognition in an interactive spoken dialogue.Type: GrantFiled: March 27, 2017Date of Patent: January 7, 2020Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jonathan Epperlein, Claudio Gambella, Wynita M. Griggs, Yassine Lassoued, Jakub Marecek, Martin Mevissen, Julien Monteil, Rodrigo H. Ordonez-Hurtado, Giovanni Russo, Robert Shorten
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Patent number: 10493900Abstract: In an approach for determining the illumination necessary along a vehicle's planned trajectory, a processor receives information relevant to the trajectory of a vehicle. A processor estimates the position of the vehicle at the particular time on the trajectory of the vehicle, using the data from the sensors. A processor estimates an illumination of the trajectory of the vehicle, using the model of the illumination of the road network and the data from the sensors, wherein a threshold is employed. A processor determines the threshold is exceeded. A processor changes a setting of the at least one headlight on the vehicle. A processor determines the threshold is exceeded. A processor alerts the user of the vehicle when adjustments to the at least one headlight that are necessary to illuminate the trajectory of the vehicle exceed physical limitations of the at least one headlight.Type: GrantFiled: May 4, 2018Date of Patent: December 3, 2019Assignee: International Business Machines CorporationInventors: Jonathan P. Epperlein, Claudio Gambella, Yassine Lassoued, Jakub Marecek, Martin Mevissen, Julien Monteil, Giovanni Russo, Robert Shorten, Wynita M. Griggs, Rodrigo H. Ordonez-Hurtado
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Publication number: 20190337443Abstract: In an approach for determining the illumination necessary along a vehicle's planned trajectory, a processor receives information relevant to the trajectory of a vehicle. A processor estimates the position of the vehicle at the particular time on the trajectory of the vehicle, using the data from the sensors. A processor estimates an illumination of the trajectory of the vehicle, using the model of the illumination of the road network and the data from the sensors, wherein a threshold is employed. A processor determines the threshold is exceeded. A processor changes a setting of the at least one headlight on the vehicle. A processor determines the threshold is exceeded. A processor alerts the user of the vehicle when adjustments to the at least one headlight that are necessary to illuminate the trajectory of the vehicle exceed physical limitations of the at least one headlight.Type: ApplicationFiled: May 4, 2018Publication date: November 7, 2019Applicants: International Business Machines Corporation, UNIVERSITY COLLEGE DUBLINInventors: JONATHAN P. EPPERLEIN, CLAUDIO GAMBELLA, Yassine Lassoued, JAKUB MARECEK, MARTIN MEVISSEN, Julien Monteil, GIOVANNI RUSSO, Robert Shorten, Wynita M. Griggs, Rodrigo H. Ordonez-Hurtado
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Publication number: 20190325325Abstract: Embodiments for planning vehicular driving actions in the presence of non-recurrent events by a processor. One or more dynamics of non-recurrent events in a transport network may be learned according to one or more contextual factors. One or more vehicle-specific factors may be learned in relation to a historical journey and current journey of a vehicle. One or more action responses associated with the one or more non-recurrent events and the one or more vehicle-specific factors may be generated.Type: ApplicationFiled: April 19, 2018Publication date: October 24, 2019Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Julien MONTEIL, Anton DEKUSAR, Yassine LASSOUED, Rodrigo H. ORDONEZ-HURTADO, Giovanni RUSSO, Martin MEVISSEN
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Patent number: 10382579Abstract: Aspects of the present invention include methods, systems and computer program products. The method includes a detecting, by a processor, a presence of a user at a location. The method further includes detecting, by the processor, a presence of one or more sensors at the location, where the one or more sensors are communicatively coupled together and to the processor. The method further includes determining, by the processor, that the user can be sensed by the one or more sensors at the location. The method further includes notifying, by the processor, the user that a selectable personalized service is available to the user at the location. The method further includes providing, by the processor, the selectable personalized service to the user at the location, where the selectable personalized service notifies the user as to an existence of any anomalies with respect to the user.Type: GrantFiled: February 28, 2017Date of Patent: August 13, 2019Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Martin Mevissen, Eleni Pratsini, Giovanni Russo, Robert Shorten
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Publication number: 20190235994Abstract: Embodiments for testing embedded systems and their applications in an Internet of Things (IoT) environment by a processor, denoted as a Hardware-in-the-Loop as a Service (HiLaaS). In a simulated environment, one or more simulated entities and one or more real entities in a networked system may be tested in real-time according to received control parameters, for a price. The price is estimated by the system, based on other parameters, and offered to the user to accept or reject. Alternatively, the user may specify the price, the system estimates control parameters, and the user can accept or reject the control parameters. One or more properties of the one or more entities, the network system, or combination thereof may be estimated based on the testing of the one or more simulated entities, when the price and control parameters are accepted.Type: ApplicationFiled: January 30, 2018Publication date: August 1, 2019Applicants: INTERNATIONAL BUSINESS MACHINES CORPORATION, University College DublinInventors: Jonathan P. EPPERLEIN, Claudio GAMBELLA, Wynita M. GRIGGS, Yassine LASSOUED, Jakub MARECEK, Martin MEVISSEN, Julien MONTEIL, Rodrigo H. ORDONEZ-HURTADO, Giovanni RUSSO, Robert SHORTEN, Sergiy ZHUK
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Publication number: 20190220827Abstract: Techniques are described that facilitate disruption control in complex schedules comprising a plurality of interdependent tasks. In one embodiment, a computer-implemented method comprises forecasting, by a device operatively coupled to a processor, probability distributions of time delays added to respective tasks of a complex schedule using a stochastic model for the respective tasks, current delay information associated with the respective tasks, and one or more defined mitigating actions that reduce or eliminate time delay attributed to a delay component of the stochastic model. The method further comprises, determining, by the device, loss information regarding losses, wherein losses can include costs attributed to the time delays and costs related to the one or more defined mitigating actions. The method can further comprise determining, by the device, a recommendation regarding implementation of the one or more defined mitigating actions based on the loss information.Type: ApplicationFiled: January 18, 2018Publication date: July 18, 2019Inventors: Randall Lee Cogill, Jakub Marecek, Martin Mevissen, Robert Shorten, Sergiy Zhuk
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Publication number: 20190163331Abstract: Embodiments describing an approach for managing multiple concurrent dialogs between a user and a plurality of devices and services based on a multi-modal dialog broker, embodiments comprise receiving instructions from at least one of: one or more users, the one or more devices, or the one or more services. Managing the instructions from the at least one of: one or more users, the one or more devices, or the one or more services. Obtaining one or more dialog variants. Determining a preferred dialog variant, in which responsive to determining the preferred dialog variant, executing the preferred dialog variant, and outputting the preferred dialog variant.Type: ApplicationFiled: November 28, 2017Publication date: May 30, 2019Inventors: Jonathan P. Epperlein, Yassine Lassoued, Jakub Marecek, Martin Mevissen, Julien Monteil, Giovanni Russo
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Publication number: 20190128686Abstract: A system and method for learning and predicting personalized risk associated with a journey for a user are presented. Contextual data may be gathered and analyzed from a plurality of data sources relating to a journey of a user. A risk associated with the journey may be learned for the user according to the contextual data. One or more risk models may be generated according to the learned risks. One or more potential risks associated with a subsequent journey may be predicted using the one or more risk models.Type: ApplicationFiled: October 26, 2017Publication date: May 2, 2019Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jonathan EPPERLEIN, Yassine LASSOUED, Martin MEVISSEN, Julien MONTEIL, Giovanni RUSSO, Robert SHORTEN
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Publication number: 20190102689Abstract: Embodiments for monitoring risk associated with operating a vehicle by a processor. One or more behavior parameters of an operator of a vehicle may be learned in relation to the vehicle, one or more alternative vehicles, or a combination thereof using one or more sensing devices for a journey. A risk associated with the one or more learned behavior parameters for the journey may be assessed.Type: ApplicationFiled: October 3, 2017Publication date: April 4, 2019Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Yassine LASSOUED, Martin MEVISSEN, Julien MONTEIL, Giovanni RUSSO
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Publication number: 20180274927Abstract: A system and method for cognitive risk mitigation are presented. Embodiments comprise journey prediction, parsing of data sources, risk assessment and mitigation, and natural-language user interaction by a cognitive processor. Data is gathered from a plurality of data sources and analyzed in the context of one or more of the user's intention(s). A dialogue with the user, in natural language, aims to provide and select one or more suggestions relating to the one or more user intention(s) such that the risk(s) relating to the one or more user's intention(s) is reduced. During the dialogue, cognitive reasoning may be performed, wherein the cognitive reasoning includes the ability to justify each suggestion and the ability to infer information from the interaction such as, for example, data obtained in a dialogue may inform subsequent inferences. The embodiments may use speech synthesis and speech recognition in an interactive spoken dialogue.Type: ApplicationFiled: March 27, 2017Publication date: September 27, 2018Applicants: INTERNATIONAL BUSINESS MACHINES CORPORATION, UNIVERSITY COLLEGE DUBLINInventors: Jonathan EPPERLEIN, Claudio GAMBELLA, Wynita M. GRIGGS, Yassine LASSOUED, Jakub MARECEK, Martin MEVISSEN, Julien MONTEIL, Rodrigo H. ORDONEZ-HURTADO, Giovanni RUSSO, Robert SHORTEN
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Publication number: 20180249299Abstract: Aspects of the present invention include methods, systems and computer program products. The method includes a detecting, by a processor, a presence of a user at a location. The method further includes detecting, by the processor, a presence of one or more sensors at the location, where the one or more sensors are communicatively coupled together and to the processor. The method further includes determining, by the processor, that the user can be sensed by the one or more sensors at the location. The method further includes notifying, by the processor, the user that a selectable personalized service is available to the user at the location. The method further includes providing, by the processor, the selectable personalized service to the user at the location, where the selectable personalized service notifies the user as to an existence of any anomalies with respect to the user.Type: ApplicationFiled: February 28, 2017Publication date: August 30, 2018Inventors: Martin Mevissen, Eleni Pratsini, Giovanni Russo, Robert Shorten
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Patent number: 9659253Abstract: A method, apparatus and computer program product for solving an optimization model by automatically creating alternative formulations, and solving those with parallel solution approaches communicating with each other. The method: automatically generates alternative formulations for a given optimization model; executes parallel communicating solution approaches in a parallel computing infrastructure in order to solve a given set of alternative model formulations; utilizes a mechanism to automatically detect the model structure and a mechanism to automatically detect the appropriate solution approach(es) for a given model structure, and to launch multiple parallel solution approaches at existing optimization solvers. The system and methods enable communication between parallel solution approaches in order to improve performance. The system communicates information between the parallel solution approaches during a solve process, in order to improve performance.Type: GrantFiled: February 4, 2016Date of Patent: May 23, 2017Assignee: International Business Machines CorporationInventors: Bissan Ghaddar, Marco Laumanns, Chungmok Lee, Martin Mevissen, Nicole Taheri, Susara Van Den Heever, Rudi Verago
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Publication number: 20160314480Abstract: A mechanism is provided for synchronization of concurrent optimization and forecasting. A change between current forecast input data most recently received from a forecasting mechanism and forecast input data used in a current iterative execution of a mechanism for solving optimization problems is estimated with respect to the objective function employed in the optimization problem. A threshold is estimated by evaluating the progress of the mechanism for solving optimization problems in a current execution. A determination is made as to whether the change is greater than or equal to the threshold. Responsive to the change being greater than or equal to the threshold, further computation by the mechanism for solving optimization problems is canceled, restarted, or rescheduled. Responsive to the change being less than the threshold, computation by the sensitivity-aware scheduler is allowed to continue.Type: ApplicationFiled: April 23, 2015Publication date: October 27, 2016Inventors: Jakub Marecek, Martin Mevissen, Pascal Pompey, Mathieu Sinn
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Publication number: 20160313714Abstract: A mechanism is provided for synchronization of concurrent optimization and forecasting. A change between current forecast input data most recently received from a forecasting mechanism and forecast input data used in a current iterative execution of a mechanism for solving optimization problems is estimated with respect to the objective function employed in the optimization problem. A threshold is estimated by evaluating the progress of the mechanism for solving optimization problems in a current execution. A determination is made as to whether the change is greater than or equal to the threshold. Responsive to the change being greater than or equal to the threshold, further computation by the mechanism for solving optimization problems is canceled, restarted, or rescheduled. Responsive to the change being less than the threshold, computation by the sensitivity-aware scheduler is allowed to continue.Type: ApplicationFiled: June 23, 2015Publication date: October 27, 2016Inventors: Jakub Marecek, Martin Mevissen, Pascal Pompey, Mathieu Sinn
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Patent number: 9465773Abstract: Embodiments of the disclosure include a system for providing data-driven distributionally robust optimization the system including a processor, the processor configured to perform a method. The method includes receiving a plurality of samples of one or more uncertain parameters for a complex system and calculating a distribution uncertainty set for the one or more uncertain parameters. The method also includes receiving a deterministic problem model associated with the complex system that includes an objective and one or more constraints and creating a distributionally robust counterpart (DRC) model based on the distribution uncertainty set and the deterministic problem model. The method further includes formulating the DRC as a generalized problem of moments (GPM), applying a semi-definite programming (SDP) relaxation to the GPM and generating an approximation for a globally optimal distributionally robust solution to the complex system.Type: GrantFiled: August 17, 2012Date of Patent: October 11, 2016Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Martin Mevissen, Emanuele Ragnoli, Jia Yuan Yu
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Publication number: 20160267390Abstract: A method for forecasting time delays added to a scheduled start time and a scheduled end time of a task includes generating a stochastic model of the task and resources affecting the task, the stochastic model includes a reactionary delay component that is a function of previous task end times and a root cause delay component that is an independent random process at a specific time. The method further includes: calculating a probability distribution of time delays added to the scheduled start time as a combination of the reactionary delay component and the root cause delay component using the stochastic model to provide a probability distribution of start times; and calculating a probability distribution of time delays added to the scheduled end time as a combination of the reactionary delay component and the root cause delay component using the stochastic model to provide a probability distribution of end times.Type: ApplicationFiled: March 13, 2015Publication date: September 15, 2016Inventors: Randall L. Cogill, Jakub Marecek, Martin Mevissen, Paulito Palmes, Robert Shorten, Fabian R. Wirth
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Publication number: 20160267391Abstract: A method for forecasting time delays added to a scheduled start time and a scheduled end time of a task includes generating a stochastic model of the task and resources affecting the task, the stochastic model includes a reactionary delay component that is a function of previous task end times and a root cause delay component that is an independent random process at a specific time. The method further includes: calculating a probability distribution of time delays added to the scheduled start time as a combination of the reactionary delay component and the root cause delay component using the stochastic model to provide a probability distribution of start times; and calculating a probability distribution of time delays added to the scheduled end time as a combination of the reactionary delay component and the root cause delay component using the stochastic model to provide a probability distribution of end times.Type: ApplicationFiled: June 22, 2015Publication date: September 15, 2016Inventors: Randall L. Cogill, Jakub Marecek, Martin Mevissen, Paulito Palmes, Robert Shorten, Fabian R. Wirth