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    Dynamic Payment Mechanism Recommendation Generator
    31.
    发明申请
    Dynamic Payment Mechanism Recommendation Generator 审中-公开

    公开(公告)号：US20180025341A1

    公开(公告)日：2018-01-25

    申请号：US15218344

    申请日：2016-07-25

    申请人： International Business Machines Corporation

    发明人： Anca A. Chandra ,  Pawan R. Chowdhary ,  Susanne M. Glissmann-Hochstein ,  Thomas D. Griffin ,  Divyesh Jadav ,  Sunhwan Lee ,  Guangjie Ren ,  Hovey Raymond Strong, JR.

    IPC分类号： G06Q20/22 ,  G06F17/30

    CPC分类号： G06Q20/227 ,  G06F16/90324 ,  G06Q20/405

    摘要： Embodiments of the invention relate to a system, computer program product, and method for generating a recommendation for using a payment instrument or combination of payment instruments to tender payment. Payment instrument data is stored in a database. Upon receiving a request for a payment recommendation, payment instrument data is retrieved from the database and a payment instrument score is assessed across two or more payment instruments. The assessment comprises the application of a function to a payment instrument, the function taking into account payment instrument variables, category, and location. A recommendation of an apportionment of the payment is generated, including an allocation of an associated cost and the recommended payment is transmitted to a network server. The payment may then be tendered in accordance with the recommendation and recorded, or alternatively, the recommendation may be overridden and the payment tendered with the overriding data, the data then being recorded and the function adjusted accordingly.

    Quantitative discovery of name changes
    33.
    发明授权
    Quantitative discovery of name changes 有权

    公开(公告)号：US11182696B2

    公开(公告)日：2021-11-23

    申请号：US16367046

    申请日：2019-03-27

    申请人： International Business Machines Corporation

    发明人： Jeanette L. Blomberg ,  Anca A. Chandra ,  Pawan R. Chowdhary ,  Se Chan Oh ,  Hovey R. Strong, Jr. ,  Suppawong Tuarob

    IPC分类号： G06N20/00 ,  G06Q10/06

    摘要： 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.

    Drone management data structure
    34.
    发明授权
    Drone management data structure 有权

    公开(公告)号：US11151885B2

    公开(公告)日：2021-10-19

    申请号：US16427180

    申请日：2019-05-30

    申请人： International Business Machines Corporation

    发明人： Jeanette L. Blomberg ,  Eric K. Butler ,  Anca A. Chandra ,  Pawan R. Chowdhary ,  Thomas D. Griffin ,  Divyesh Jadav ,  Robert J. Moore ,  Hovey R. Strong, Jr.

    IPC分类号： G08G5/00

    摘要： 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.

    Managing consumer energy demand
    36.
    发明授权
    Managing consumer energy demand 有权

    公开(公告)号：US10742037B2

    公开(公告)日：2020-08-11

    申请号：US16025988

    申请日：2018-07-02

    申请人： International Business Machines Corporation

    发明人： Hovey R. Strong, Jr. ,  Raphael I. Arar ,  Kevin P. Roche ,  Eric K. Butler ,  Sandeep Gopisetty ,  Manuel Hernandez ,  Pawan R. Chowdhary ,  Shubhi Asthana ,  Cheryl A. Kieliszewski

    IPC分类号： H02J3/32 ,  G05B13/02 ,  H02J3/00

    摘要： A computer-implemented method, according to one embodiment, includes: receiving an energy consumption profile which spans multiple intervals in a period of time, and predicting a net energy demand of a consumer system over the period of time. Moreover, a first multiple is determined which, when applied to the received energy consumption profile, produces an updated energy consumption profile which corresponds to an amount of energy that is capable of satisfying the predicted net energy demand of the consumer system. A greatest amount of underprediction is estimated. A greatest amount of overprediction is also estimated. Furthermore, an initial state of an energy storage device electrically coupled to the consumer system is computed according to the updated energy consumption profile. The initial state of the energy storage device is also based on a second multiple applied to each of the greatest amount of underprediction, and the greatest amount of overprediction.