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    Meeting room reservation system
    1.
    发明授权
    Meeting room reservation system 有权

    公开(公告)号：US11188878B2

    公开(公告)日：2021-11-30

    申请号：US14861959

    申请日：2015-09-22

    申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION

    发明人： Jeanette L. Blomberg ,  Anca A. Chandra ,  Pawan R. Chowdhary ,  Susanne M. Glissmann-Hochstein ,  Sunhwan Lee ,  Hovey Raymond Strong, Jr.

    IPC分类号： G06Q10/10

    摘要： 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.

    Drone air traffic control and flight plan management
    3.
    发明授权
    Drone air traffic control and flight plan management 有权

    公开(公告)号：US10540900B2

    公开(公告)日：2020-01-21

    申请号：US15799826

    申请日：2017-10-31

    申请人： International Business Machines Corporation

    发明人： Eric K. Butler ,  Anca A. Chandra ,  Pawan R. Chowdhary ,  Susanne M. Glissmann-Hochstein ,  Thomas D. Griffin ,  Divyesh Jadav ,  Sunhwan Lee ,  Hovey R. Strong, Jr.

    IPC分类号： G08G5/00

    摘要： One embodiment provides a method comprising receiving a flight plan request for a drone. The flight plan request comprises a drone identity, departure information, and arrival information. The method further comprises constructing a modified flight plan for the drone based on the flight plan request, wherein the modified flight plan represents an approved, congestion reducing, and executable flight plan for the drone, and the modified flight plan comprises a sequence of four-dimensional (4D) cells representing a planned flight path for the drone. For each 4D cell of the modified flight plan, the method further comprises attempting to place an exclusive lock on behalf of the drone on the 4D cell, and in response to a failure to place the exclusive lock on behalf of the drone on the 4D cell, rerouting the modified flight plan around the 4D cell to a random neighboring 4D cell.

    QUANTITATIVE DISCOVERY OF NAME CHANGES
    4.
    发明申请
    QUANTITATIVE DISCOVERY OF NAME CHANGES 审中-公开

    公开(公告)号：US20190220780A1

    公开(公告)日：2019-07-18

    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

    CPC分类号： G06N20/00 ,  G06Q10/06375

    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.

    QUANTITATIVE DISCOVERY OF NAME CHANGES
    7.
    发明申请
    QUANTITATIVE DISCOVERY OF NAME CHANGES 审中-公开
    定量发现名称变更

    公开(公告)号：US20160358097A1

    公开(公告)日：2016-12-08

    申请号：US14728926

    申请日：2015-06-02

    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： G06N99/00 ,  G06F17/30

    CPC分类号： G06N20/00 ,  G06Q10/06375

    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.

    摘要翻译： 本发明的实施例提供了一种用于检测与演奏数据相关联的名称的时间变化的方法。 该方法包括接收包括一对名称的至少一个候选名称替换对。 该方法还包括在训练阶段中针对包括在演奏数据中的每个已知名称替换对，确定涵盖已知名称替换对的名字的最近出现的时间窗口。 时间窗口基于包括名字的性能数据和已知名称替换对的第二名称的时间序列模型的定量特征来确定。 该方法还包括在训练阶段中，基于使用第一名称和第二名称的性能数据的一部分计算的定量特征来训练机器学习分类器，其中该部分在确定的时间窗口内。

    PREDICTING DEMAND OF A NEWLY INTRODUCED SHORT LIFECYCLE PRODUCT WITHIN AN ASSORTMENT
    8.
    发明申请
    PREDICTING DEMAND OF A NEWLY INTRODUCED SHORT LIFECYCLE PRODUCT WITHIN AN ASSORTMENT 审中-公开
    预计新一轮简易生物食品的需求量

    公开(公告)号：US20150235239A1

    公开(公告)日：2015-08-20

    申请号：US14184316

    申请日：2014-02-19

    申请人： International Business Machines Corporation

    发明人： Pawan R. Chowdhary ,  Shivaram Subramanian ,  Xiaoxuan Zhang

    IPC分类号： G06Q30/02 ,  G06Q50/00

    CPC分类号： G06Q30/0202 ,  G06Q50/01

    摘要： Predicting demand of a newly launched product may comprise obtaining customer sentiment data associated with the newly launched product, the customer sentiment data obtained at least from social media. A mean sentiment lag associated with the customer sentiment data may be determined. A weight given to a predicted PLC effect of the newly launched product relative to customer sentiment identified in the customer sentiment data may be determined. Numerical prediction parameters from parameter values associated with a like-item that is determined to be similar to the newly launched product may be obtained. A product utility valuation may be computed as a weighted combination of the predicted PLC effect and a lagged social media sentiment determined from the customer sentiment data accounted by the mean sentiment lag. The product utility valuation provides an indication of the future demand of the newly launched product.

    摘要翻译： 预测新推出的产品的需求可以包括获得与新推出的产品相关联的客户情绪数据，至少从社交媒体获得的客户情绪数据。 可以确定与客户情绪数据相关联的平均情绪滞后。 可以确定给予新推出的产品相对于客户情绪数据中识别的客户情绪的预测的PLC效应的权重。 可以获得与被确定为类似于新推出的产品相似的项目的参数值的数值预测参数。 产品效用估值可以计算为预测的PLC效应和由平均情绪滞后所占的客户情绪数据确定的滞后的社交媒体情绪的加权组合。 产品实用估值提供了新推出产品未来需求的指标。