Patents by Inventor Jeanette L. Blomberg
Jeanette L. Blomberg 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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Patent number: 11194862Abstract: One embodiment provides a method that includes generating, by a processor, a topic graph by converting information to topic nodes and edges in the topic graph. Bridges from a given topic node are provided to a neighbor node based on a weight assignment. The bridges are converted to an electronic form of communication. The processor orders suggested paths based on a determined distance from at least one other topic node to a topic goal node via an earliest topic node on each suggested path. The determined distance is found by a first search of the topic graph.Type: GrantFiled: August 29, 2019Date of Patent: December 7, 2021Assignee: International Business Machines CorporationInventors: Jeanette L. Blomberg, Eric K. Butler, Anca A. Chandra, Pawan R. Chowdhary, Susanne M. Glissmann-Hochstein, Thomas D. Griffin, Sunhwan Lee, Robert J. Moore, Hovey R. Strong, Jr.
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Patent number: 11188878Abstract: Embodiments of the present invention provide a method comprising maintaining historical meeting information, receiving an event data stream corresponding to a meeting, and delaying confirmation of an assignment of a meeting room for the meeting for a period of delay defined by a confirmation condition to predict a number of in-person attendees at the meeting based on the event data stream and the historical meeting information. The meeting room is tentatively assigned to the meeting based on the predicted number of in-person attendees. The method further comprises sending confirmation of the assignment of the meeting room for the meeting to at least one invitee only after the period of delay has elapsed.Type: GrantFiled: September 22, 2015Date of Patent: November 30, 2021Assignee: International Business Machines CorporationInventors: Jeanette L. Blomberg, Anca A. Chandra, Pawan R. Chowdhary, Susanne M. Glissmann-Hochstein, Sunhwan Lee, Hovey Raymond Strong, Jr.
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Patent number: 11182696Abstract: Embodiments of the present invention provide a method for detecting a temporal change of name associated with performance data. The method comprises receiving at least one candidate name replacement pair comprising a pair of names. The method further comprises, in a training stage, for each known name replacement pair included in the performance data, determining a window of time covering a most recent appearance of a first name of the known name replacement pair. The window of time is determined based on quantitative features of a time series model comprising performance data for the first name and a second name of the known name replacement pair. The method further comprises, in the training stage, training a machine learning classifier based on quantitative features computed using a portion of the performance data for the first name and the second name, where the portion is within the window of time determined.Type: GrantFiled: March 27, 2019Date of Patent: November 23, 2021Assignee: International Business Machines CorporationInventors: Jeanette L. Blomberg, Anca A. Chandra, Pawan R. Chowdhary, Se Chan Oh, Hovey R. Strong, Jr., Suppawong Tuarob
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Patent number: 11183072Abstract: Embodiments of the present invention provide a method comprising receiving a task set comprising multiple tasks, receiving operational information identifying one or more operating characteristics of multiple drones, and obtaining an initial heuristic ordering of the multiple tasks based on the operational information and the climate information. Each task has a corresponding task location. The method further comprises scheduling the multiple tasks to obtain a final ordering of the multiple tasks. The final ordering represents an order in which the multiple tasks are scheduled, and the final ordering may be different from the initial heuristic ordering.Type: GrantFiled: April 10, 2018Date of Patent: November 23, 2021Assignee: NEC CORPORATIONInventors: Jeanette L. Blomberg, Eric K. Butler, Anca A. Chandra, Pawan R. Chowdhary, Thomas D. Griffin, Divyesh Jadav, Shun Jiang, Sunhwan Lee, Robert J. Moore, Hovey R. Strong, Jr., Chung-hao Tan
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Patent number: 11157853Abstract: Embodiments of the present invention provide a system, method and computer program product for forecasting a time series based on actuals and a plan. A method comprises generating a first and a second sequence of segments that rise and fall alternately based on a first and a second sequence of data values over time, respectively. The first and second sequence of data values represent actual data for an ongoing project and estimated data for a planned project, respectively. The method further comprises aligning at least one segment of the second sequence of segments with at least one segment of the first sequence of segments, and adjusting the estimated data by replacing at least one segment of the second sequence of segments with a scaled version of at least one corresponding aligned segment of the first sequence of segments. The scaled version maintains an estimated total for the planned project.Type: GrantFiled: May 30, 2019Date of Patent: October 26, 2021Assignee: International Business Machines CorporationInventors: Jeanette L. Blomberg, Neil H. A. Boyette, Anca A. Chandra, Se Chan Oh, Hovey R. Strong, Jr.
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Patent number: 11151885Abstract: One embodiment provides a method comprising maintaining a multi-dimensional data structure partitioned into cells utilizing a tree data structure (“tree”) comprising intervals for each dimension of a multi-dimensional space. To partition an interval for a node of the tree into multiple subintervals, multiple leaf nodes (“leaves”) are generated, each leaf descending from the node. To merge multiple intervals for multiple nodes of the tree, a parent node (“parent”) and multiple leaves descending from the parent are generated, the parent and the leaves are time constrained, and the leaves are scheduled for a merger. When transient data in cells included in a list that corresponds to a leaf scheduled for merger expires, each cell in the list is converted into a cell for inclusion in a different list corresponding to a parent of the leaf, each leaf of the parent removed, and the parent turned into a leaf.Type: GrantFiled: May 30, 2019Date of Patent: October 19, 2021Assignee: International Business Machines CorporationInventors: Jeanette L. Blomberg, Eric K. Butler, Anca A. Chandra, Pawan R. Chowdhary, Thomas D. Griffin, Divyesh Jadav, Robert J. Moore, Hovey R. Strong, Jr.
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Patent number: 11062334Abstract: One embodiment provides a method for predicting revenue change in a ledger including receiving, by a processor device, revenue data with timestamps for a number of historical periods at a particular level, with attributes of the particular level and a percentage of the required revenue change. The data is filtered. The filtered data is aggregated at the particular level for a selected prediction. A sliding window of the number of historical periods is moved over business periods, creating a data point for each historical period temporal window by extracting features. A required target output is created for each data point for at least one future time period. A statistical classification model is trained to predict the revenue change. A set of recent histories is converted into a quantitative health value.Type: GrantFiled: June 5, 2017Date of Patent: July 13, 2021Assignee: International Business Machines CorporationInventors: Jeanette L. Blomberg, Abhinav Maurya, Aly Megahed, Hovey R. Strong, Jr.
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Patent number: 11055730Abstract: One embodiment provides optimizing predictive precision for actionable forecasts of revenue change including receiving revenue data with timestamps for a number of historical periods at a particular level, with attributes of the particular level and a percentage of the required revenue change. The data is filtered. The filtered data is aggregated at the particular level for a selected prediction. A sliding window of the number of historical periods is moved over business periods, creating a data point for each historical period temporal window by extracting features. A required target output is created for each data point for at least one future time period. A model is trained to optimize predictive precision for actionable forecasts of revenue change. A set of recent histories is converted into a quantitative health value.Type: GrantFiled: June 5, 2017Date of Patent: July 6, 2021Assignee: International Business Machines CorporationInventors: Jeanette L. Blomberg, Abhinav Maurya, Aly Megahed, Hovey R. Strong
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Patent number: 11042891Abstract: One embodiment provides optimizing potential revenue savings when predicting client revenue change including receiving revenue data with timestamps for a number of historical periods at a particular level, with attributes of the particular level and a percentage of the required revenue change. The data is filtered. The filtered data is aggregated at the particular level for a selected prediction. A sliding window of the number of historical periods is moved over business periods, creating a data point for each historical period temporal window by extracting features. A required target output is created for each data point for at least one future time period. A weight is assigned to each data point proportional to value of revenue. A model is trained to optimize a weighted linear combination of losses over each data point. A set of recent histories is converted into a quantitative health value.Type: GrantFiled: June 5, 2017Date of Patent: June 22, 2021Assignee: International Business Machines CorporationInventors: Jeanette L. Blomberg, Abhinav Maurya, Aly Megahed, Hovey R. Strong, Jr.
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Patent number: 10922983Abstract: One embodiment provides a method comprising maintaining a weather model based on predicted weather conditions for an air traffic control zone. A hash table comprising multiple hash entries is maintained. Each hash entry comprises a timestamped predicted weather condition for a cell in the zone. A flight plan request for a drone is received. The request comprises a planned flight path for the drone. For at least one cell on the planned flight path, same latitude or same longitude cells, whichever is most closely orthogonal to a direction of the planned flight path, are heuristically probed. Weather conditions for the at least one cell are estimated based on predicted weather conditions for the same latitude or same longitude cells. An executable flight plan is generated if the planned flight path is feasible based on the estimated weather conditions; otherwise, a report including an explanation of infeasibility is generated instead.Type: GrantFiled: June 19, 2018Date of Patent: February 16, 2021Assignee: International Business Machines CorporationInventors: Jeanette L. Blomberg, Eric K. Butler, Anca A. Chandra, Pawan R. Chowdhary, Thomas D. Griffin, Divyesh Jadav, Shun Jiang, Sunhwan Lee, Robert J. Moore, Hovey R. Strong, Jr., Chung-hao Tan
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Patent number: 10899444Abstract: Embodiments of the present invention provide an apparatus comprising a body including a cavity for storing one or more packages, and a conveyor belt disposed above a top surface of the body. The belt is shaped to receive one or more packages, and the belt is controllable to rotate a package placed on the belt either from the top surface to the cavity for storage or from the cavity to the top surface for dispatch. A package comprises at least one of a drone and a payload transported by the drone. The apparatus further comprises a landing mechanism for stabilizing a drone landing on the apparatus.Type: GrantFiled: July 27, 2018Date of Patent: January 26, 2021Assignee: International Business Machines CorporationInventors: Jeanette L. Blomberg, Eric K. Butler, Anca A. Chandra, Pawan R. Chowdhary, Thomas D. Griffin, Divyesh Jadav, Sunhwan Lee, Robert J. Moore, Hovey R. Strong, Jr.
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Publication number: 20190384791Abstract: One embodiment provides a method that includes generating, by a processor, a topic graph by converting information to topic nodes and edges in the topic graph. Bridges from a given topic node are provided to a neighbor node based on a weight assignment. The bridges are converted to an electronic form of communication. The processor orders suggested paths based on a determined distance from at least one other topic node to a topic goal node via an earliest topic node on each suggested path. The determined distance is found by a first search of the topic graph.Type: ApplicationFiled: August 29, 2019Publication date: December 19, 2019Inventors: Jeanette L. Blomberg, Eric K. Butler, Anca A. Chandra, Pawan R. Chowdhary, Susanne M. Glissmann-Hochstein, Thomas D. Griffin, Sunhwan Lee, Robert J. Moore, Hovey R. Strong, JR.
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Patent number: 10489456Abstract: One embodiment provides a method that includes obtaining information including profile information and current event information. A processor generates a topic graph by converting the information to topic nodes in the topic graph. The processor determines a weight assignment for each topic node based on ratios of sums of weights of edges from topic nodes. Bridges are provided from a given topic node to a neighbor based on the weight assignment.Type: GrantFiled: November 8, 2016Date of Patent: November 26, 2019Assignee: International Business Machines CorporationInventors: Jeanette L. Blomberg, Eric K. Butler, Anca A. Chandra, Pawan R. Chowdhary, Susanne M. Glissmann-Hochstein, Thomas D. Griffin, Sunhwan Lee, Robert J. Moore, Hovey R. Strong, Jr.
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Publication number: 20190355261Abstract: One embodiment provides a method comprising maintaining a multi-dimensional data structure partitioned into cells utilizing a tree data structure (“tree”) comprising intervals for each dimension of a multi-dimensional space. To partition an interval for a node of the tree into multiple subintervals, multiple leaf nodes (“leaves”) are generated, each leaf descending from the node. To merge multiple intervals for multiple nodes of the tree, a parent node (“parent”) and multiple leaves descending from the parent are generated, the parent and the leaves are time constrained, and the leaves are scheduled for a merger. When transient data in cells included in a list that corresponds to a leaf scheduled for merger expires, each cell in the list is converted into a cell for inclusion in a different list corresponding to a parent of the leaf, each leaf of the parent removed, and the parent turned into a leaf.Type: ApplicationFiled: May 30, 2019Publication date: November 21, 2019Inventors: Jeanette L. Blomberg, Eric K. Butler, Anca A. Chandra, Pawan R. Chowdhary, Thomas D. Griffin, Divyesh Jadav, Robert J. Moore, Hovey R. Strong, JR.
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Patent number: 10417917Abstract: One embodiment provides a method comprising maintaining a multi-dimensional data structure partitioned into cells utilizing a tree data structure (“tree”) comprising intervals for each dimension of a multi-dimensional space. To partition an interval for a node of the tree into multiple subintervals, multiple leaf nodes (“leaves”) are generated, each leaf descending from the node. To merge multiple intervals for multiple nodes of the tree, a parent node (“parent”) and multiple leaves descending from the parent are generated, the parent and the leaves are time constrained, and the leaves are scheduled for a merger. When transient data in cells included in a list that corresponds to a leaf scheduled for merger expires, each cell in the list is converted into a cell for inclusion in a different list corresponding to a parent of the leaf, each leaf of the parent removed, and the parent turned into a leaf.Type: GrantFiled: March 8, 2016Date of Patent: September 17, 2019Assignee: International Business Machines CorporationInventors: Jeanette L. Blomberg, Eric K. Butler, Anca A. Chandra, Pawan R. Chowdhary, Thomas D. Griffin, Divyesh Jadav, Robert J. Moore, Hovey R. Strong, Jr.
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Publication number: 20190279134Abstract: Embodiments of the present invention provide a system, method and computer program product for forecasting a time series based on actuals and a plan. A method comprises generating a first and a second sequence of segments that rise and fall alternately based on a first and a second sequence of data values over time, respectively. The first and second sequence of data values represent actual data for an ongoing project and estimated data for a planned project, respectively. The method further comprises aligning at least one segment of the second sequence of segments with at least one segment of the first sequence of segments, and adjusting the estimated data by replacing at least one segment of the second sequence of segments with a scaled version of at least one corresponding aligned segment of the first sequence of segments. The scaled version maintains an estimated total for the planned project.Type: ApplicationFiled: May 30, 2019Publication date: September 12, 2019Inventors: Jeanette L. Blomberg, Neil H.A. Boyette, Anca A. Chandra, Se Chan Oh, Hovey R. Strong, JR.
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Patent number: 10395198Abstract: Embodiments of the present invention provide a system, method and computer program product for forecasting a time series based on actuals and a plan. A method comprises generating a first and a second sequence of segments that rise and fall alternately based on a first and a second sequence of data values over time, respectively. The first and second sequence of data values represent actual data for an ongoing project and estimated data for a planned project, respectively. The method further comprises aligning at least one segment of the second sequence of segments with at least one segment of the first sequence of segments, and adjusting the estimated data by replacing at least one segment of the second sequence of segments with a scaled version of at least one corresponding aligned segment of the first sequence of segments. The scaled version maintains an estimated total for the planned project.Type: GrantFiled: October 4, 2013Date of Patent: August 27, 2019Assignee: International Business Machines CorporationInventors: Jeanette L. Blomberg, Neil H. A. Boyette, Anca A. Chandra, Se Chan Oh, Hovey R. Strong, Jr.
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Publication number: 20190220780Abstract: Embodiments of the present invention provide a method for detecting a temporal change of name associated with performance data. The method comprises receiving at least one candidate name replacement pair comprising a pair of names. The method further comprises, in a training stage, for each known name replacement pair included in the performance data, determining a window of time covering a most recent appearance of a first name of the known name replacement pair. The window of time is determined based on quantitative features of a time series model comprising performance data for the first name and a second name of the known name replacement pair. The method further comprises, in the training stage, training a machine learning classifier based on quantitative features computed using a portion of the performance data for the first name and the second name, where the portion is within the window of time determined.Type: ApplicationFiled: March 27, 2019Publication date: July 18, 2019Inventors: Jeanette L. Blomberg, Anca A. Chandra, Pawan R. Chowdhary, Se Chan Oh, Hovey R. Strong, JR., Suppawong Tuarob
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Patent number: 10339467Abstract: Embodiments of the present invention provide a method for detecting a temporal change of name associated with performance data. The method comprises receiving at least one candidate name replacement pair comprising a pair of names. The method further comprises, in a training stage, for each known name replacement pair included in the performance data, determining a window of time covering a most recent appearance of a first name of the known name replacement pair. The window of time is determined based on quantitative features of a time series model comprising performance data for the first name and a second name of the known name replacement pair. The method further comprises, in the training stage, training a machine learning classifier based on quantitative features computed using a portion of the performance data for the first name and the second name, where the portion is within the window of time determined.Type: GrantFiled: June 2, 2015Date of Patent: July 2, 2019Assignee: International Business Machines CorporationInventors: Jeanette L. Blomberg, Anca A. Chandra, Pawan R. Chowdhary, Se Chan Oh, Hovey R. Strong, Jr., Suppawong Tuarob
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Patent number: 10318970Abstract: Embodiments of the present invention provide a system, method and computer program product for generating a succinct approximate representation of a time series. A method comprises determining at least one peak data value and at least one trough data value of an input series comprising a sequence of data values over time. The input series is partitioned into multiple segments comprising at least one rising segment that rises to a peak data value and at least one falling segment that falls to a trough data value. A sequence of segments that rise and fall alternately is generated based on the segments. A sequence of totals representing a succinct approximate representation of the input series is generated. Each total comprises a sum of data values for a corresponding segment of the sequence of segments.Type: GrantFiled: October 4, 2013Date of Patent: June 11, 2019Assignee: International Business Machines CorporationInventors: Jeanette L. Blomberg, Neil H. A. Boyette, Anca A. Chandra, Se Chan Oh, Hovey R. Strong, Jr.